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8. A method implemented in an electronic-network based system for knowledge creation, said method comprising: configuring a computer exchange subsystem to operate in accordance with a self-governing system of a computer governance subsystem for governing activities of a computer exchange subsystem internetworking said computer account subsystem and said computer governance subsystem; said self-governing system being configured through a plurality of user accounts of said computer account subsystem; receiving through each of said plurality of user accounts, an election of at least one person responsible for said computer exchange subsystem; electing, utilizing said computer exchange subsystem, at least one person responsible for said computer exchange subsystem according to said received elections; receiving in said computer exchange subsystem first user's knowledge deposited through a first user account of said plurality of user accounts; receiving in said computer exchange subsystem a second user's offer for purchasing a view of said knowledge deposit, said offer being sent through a second user account of said plurality of user accounts of said computer account subsystem; accepting in said computer exchange subsystem said second user's offer; and distributing from said computer exchange subsystem said knowledge deposit view to said second user account of said plurality of user accounts of said computer account subsystem in exchange for receiving in said first user's account from said second user's account, money for purchase of said view; further comprising logging in said exchange subsystem particulars of said second user's offer to purchase said view; said acceptance of said second user's offer; and distribution of said purchased view to said second user account; logging receipt of said particulars in at least one of said first user account and said second user account; resolving through a dispute resolution subsystem of said computer system a dispute between user accounts based on said logged particulars and logged receipt in response to receiving input from at least one of said first user account and said second user account whereby the ability to pay legal fees is equalized such that a user with greater financial resources cannot unjustly prevail over users with fewer financial resource. | 8. A method implemented in an electronic-network based system for knowledge creation, said method comprising: configuring a computer exchange subsystem to operate in accordance with a self-governing system of a computer governance subsystem for governing activities of a computer exchange subsystem internetworking said computer account subsystem and said computer governance subsystem; said self-governing system being configured through a plurality of user accounts of said computer account subsystem; receiving through each of said plurality of user accounts, an election of at least one person responsible for said computer exchange subsystem; electing, utilizing said computer exchange subsystem, at least one person responsible for said computer exchange subsystem according to said received elections; receiving in said computer exchange subsystem first user's knowledge deposited through a first user account of said plurality of user accounts; receiving in said computer exchange subsystem a second user's offer for purchasing a view of said knowledge deposit, said offer being sent through a second user account of said plurality of user accounts of said computer account subsystem; accepting in said computer exchange subsystem said second user's offer; and distributing from said computer exchange subsystem said knowledge deposit view to said second user account of said plurality of user accounts of said computer account subsystem in exchange for receiving in said first user's account from said second user's account, money for purchase of said view; further comprising logging in said exchange subsystem particulars of said second user's offer to purchase said view; said acceptance of said second user's offer; and distribution of said purchased view to said second user account; logging receipt of said particulars in at least one of said first user account and said second user account; resolving through a dispute resolution subsystem of said computer system a dispute between user accounts based on said logged particulars and logged receipt in response to receiving input from at least one of said first user account and said second user account whereby the ability to pay legal fees is equalized such that a user with greater financial resources cannot unjustly prevail over users with fewer financial resource. 15. The method of claim 8 , further comprising using a computer dispute resolution subsystem, internetworked with said computer exchange subsystem, to resolve disputes between said first and second users in accordance with dispute resolution rules and remedies stored on said computer dispute resolution subsystem; wherein using said computer dispute resolution subsystem includes resolving through said dispute resolution subsystem a dispute between user accounts based on logged particulars and receipts in response to receiving input from at least one of said first user account and said second user account whereby the ability to pay legal fees is equalized such that a user with greater financial resources cannot unjustly prevail over users with fewer financial resource. | 0.570091 |
61. The method of claim 60 , wherein the query includes an XPath query expression. | 61. The method of claim 60 , wherein the query includes an XPath query expression. 62. The method of claim 61 , wherein said XPath query expression is included in a Structured Query Language (SQL) query. | 0.948707 |
1. A method for identifying and presenting a plurality of recommendation levels for a plurality of recommended electronic books, the method comprising: determining and storing a plurality of reading behaviors associated with a plurality of electronic books; receiving at least one electronic book search request associated with the plurality of electronic books; identifying the plurality of recommended electronic books based on the received at least one electronic book search request; identifying a plurality of topics associated with the identified plurality of recommended electronic books, wherein each topic associated with the identified plurality of topics are associated with at least one chapter and at least one section of the identified plurality of recommended books; scoring and ranking the identified plurality of topics based on the determined and stored plurality of reading behaviors associated with the identified plurality of topics; determining the plurality of recommendation levels for the identified plurality of recommended electronic books based on the scored and ranked identified plurality of topics, the determined and stored plurality of reading behaviors, and the received at least one electronic book search request; and generating and presenting a plurality of topic comparisons and a plurality of ranked combinations of recommendations for the identified plurality of recommended electronic books, wherein generating and presenting the plurality of topic comparisons comprises comparing a plurality of overlapping topics associated with the identified plurality of recommended electronic books, and wherein generating and presenting the plurality of ranked combinations of recommendations further comprises selecting one or more combinations of the identified plurality of recommended electronic books based on the scored and ranked identified plurality of topics, and ranking the selected one or more combinations per topic. | 1. A method for identifying and presenting a plurality of recommendation levels for a plurality of recommended electronic books, the method comprising: determining and storing a plurality of reading behaviors associated with a plurality of electronic books; receiving at least one electronic book search request associated with the plurality of electronic books; identifying the plurality of recommended electronic books based on the received at least one electronic book search request; identifying a plurality of topics associated with the identified plurality of recommended electronic books, wherein each topic associated with the identified plurality of topics are associated with at least one chapter and at least one section of the identified plurality of recommended books; scoring and ranking the identified plurality of topics based on the determined and stored plurality of reading behaviors associated with the identified plurality of topics; determining the plurality of recommendation levels for the identified plurality of recommended electronic books based on the scored and ranked identified plurality of topics, the determined and stored plurality of reading behaviors, and the received at least one electronic book search request; and generating and presenting a plurality of topic comparisons and a plurality of ranked combinations of recommendations for the identified plurality of recommended electronic books, wherein generating and presenting the plurality of topic comparisons comprises comparing a plurality of overlapping topics associated with the identified plurality of recommended electronic books, and wherein generating and presenting the plurality of ranked combinations of recommendations further comprises selecting one or more combinations of the identified plurality of recommended electronic books based on the scored and ranked identified plurality of topics, and ranking the selected one or more combinations per topic. 3. The method of claim 1 , wherein scoring the identified plurality of topics further comprises determining a plurality of popularity values based on the determined and stored plurality of reading behaviors. | 0.68891 |
7. A system for providing multi-level data access security, the system comprising: a hardware processor configured to: perform an analysis of hardware and software of a user's computer system in order to mitigate the risk of unauthorized data access; receive a user's request for data access from an application on the user's computer system, where request contains a query for retrieving data; modify user's request for data access for possible risk mitigation based on hardware, software analysis results; authenticate a user sending the request for data access and redirect the request for data access in case of successful authentication; identify user's clearance level; retrieve query result from data storage based on user's clearance level and user's query; apply access control policies to query result for modifying query result in order to exclude from query result information requiring suppression; and transmit final query result to user's computer system. | 7. A system for providing multi-level data access security, the system comprising: a hardware processor configured to: perform an analysis of hardware and software of a user's computer system in order to mitigate the risk of unauthorized data access; receive a user's request for data access from an application on the user's computer system, where request contains a query for retrieving data; modify user's request for data access for possible risk mitigation based on hardware, software analysis results; authenticate a user sending the request for data access and redirect the request for data access in case of successful authentication; identify user's clearance level; retrieve query result from data storage based on user's clearance level and user's query; apply access control policies to query result for modifying query result in order to exclude from query result information requiring suppression; and transmit final query result to user's computer system. 10. The system of claim 7 , wherein hardware analysis includes vulnerability detection of the devices of the user's computer system. | 0.566071 |
8. The method of claim 1 , wherein step (b) further comprises: (vii) sorting a set of messages stored in the quarantine folder according to their associated scores. | 8. The method of claim 1 , wherein step (b) further comprises: (vii) sorting a set of messages stored in the quarantine folder according to their associated scores. 9. The method of claim 8 , wherein step (b) further comprises: (vii) obscuring one or more messages having a score within a range indicating spam. | 0.964355 |
1. A method of modifying a computer-readable elemental data structure of a knowledge representation system, the method comprising: applying, using at least one processor executing stored program instructions, one or more rules of analysis to deconstruct a knowledge representation into one or more elemental components; adding, using at least one processor executing stored program instructions, data associated with the one or more elemental components to an elemental data structure, the elemental data structure storing data representing concepts and concept relationships; inferring, using at least one processor executing stored program instructions, candidate data associated with the elemental data structure, wherein the inferring comprises detecting language in reference data, wherein the language corresponds to a predetermined linguistic pattern expressing a relationship between at least a first concept and a second concept in natural language; modifying the elemental data structure to combine the candidate data and the data associated with the one or more elemental components, wherein the modifying comprises adding, to the elemental data structure, the first concept, the second concept, and/or the relationship between the first and second concepts expressed by the linguistic pattern detected in the reference data, wherein the reference data is obtained from a source other than the knowledge representation wherein the detected linguistic pattern expresses in natural language that the second concept subsumes the first concept; wherein detecting the language corresponding to the predetermined linguistic pattern comprises detecting in the reference data a first label associated with the first concept, followed by a subsumptive expression, followed by a second label associated with the second concept, wherein the linguistic pattern including the subsumptive expression expresses in natural language that the second concept subsumes the first concept; wherein the subsumptive expression comprises at least one of one or more predetermined words or one or more predetermined symbols; wherein detecting the predetermined linguistic pattern in the reference data comprises detecting in the reference data the first label associated with the first concept and the second label associated with the second concept, wherein a proximity of the first label to the second label is within a threshold proximity; wherein the one or more elemental components are encoded as one or more computer-readable data structures storing data associated with the one or more elemental components, and wherein the reference data is encoded as one or more computer-readable data structures storing data associated with reference communication. | 1. A method of modifying a computer-readable elemental data structure of a knowledge representation system, the method comprising: applying, using at least one processor executing stored program instructions, one or more rules of analysis to deconstruct a knowledge representation into one or more elemental components; adding, using at least one processor executing stored program instructions, data associated with the one or more elemental components to an elemental data structure, the elemental data structure storing data representing concepts and concept relationships; inferring, using at least one processor executing stored program instructions, candidate data associated with the elemental data structure, wherein the inferring comprises detecting language in reference data, wherein the language corresponds to a predetermined linguistic pattern expressing a relationship between at least a first concept and a second concept in natural language; modifying the elemental data structure to combine the candidate data and the data associated with the one or more elemental components, wherein the modifying comprises adding, to the elemental data structure, the first concept, the second concept, and/or the relationship between the first and second concepts expressed by the linguistic pattern detected in the reference data, wherein the reference data is obtained from a source other than the knowledge representation wherein the detected linguistic pattern expresses in natural language that the second concept subsumes the first concept; wherein detecting the language corresponding to the predetermined linguistic pattern comprises detecting in the reference data a first label associated with the first concept, followed by a subsumptive expression, followed by a second label associated with the second concept, wherein the linguistic pattern including the subsumptive expression expresses in natural language that the second concept subsumes the first concept; wherein the subsumptive expression comprises at least one of one or more predetermined words or one or more predetermined symbols; wherein detecting the predetermined linguistic pattern in the reference data comprises detecting in the reference data the first label associated with the first concept and the second label associated with the second concept, wherein a proximity of the first label to the second label is within a threshold proximity; wherein the one or more elemental components are encoded as one or more computer-readable data structures storing data associated with the one or more elemental components, and wherein the reference data is encoded as one or more computer-readable data structures storing data associated with reference communication. 7. The method of claim 1 , wherein: the elemental data structure comprises the first concept and the second concept; and modifying the elemental data structure to combine the candidate data and the data associated with the one or more elemental components comprises to the elemental data structure a subsumptive relationship between the first concept and the second concept. | 0.553619 |
1. A computer-implemented method for protecting data residing in a repository of an electronic product code information service against undesired data disclosure, the method comprising: defining one or more disclosure policies for an entity representing a set of items sharing a common master data attribute, each item being tagged with an electronic product code and having associated data stored in a relational database in the repository, each disclosure policy including a rule defining what attributes of the entity can be disclosed to a querying party, by creating a security view on one or more relational database objects in the database; and enforcing the one or more disclosure policies in response to receiving a query pertaining to an entity, by: transforming the received query to use the created security view for the one or more relational database objects pertaining to the entity, and returning data defined by the security view to the querying party, thereby only disclosing a subset of the data from the repository, the subset being determined in accordance with the defined one or more disclosure policies. | 1. A computer-implemented method for protecting data residing in a repository of an electronic product code information service against undesired data disclosure, the method comprising: defining one or more disclosure policies for an entity representing a set of items sharing a common master data attribute, each item being tagged with an electronic product code and having associated data stored in a relational database in the repository, each disclosure policy including a rule defining what attributes of the entity can be disclosed to a querying party, by creating a security view on one or more relational database objects in the database; and enforcing the one or more disclosure policies in response to receiving a query pertaining to an entity, by: transforming the received query to use the created security view for the one or more relational database objects pertaining to the entity, and returning data defined by the security view to the querying party, thereby only disclosing a subset of the data from the repository, the subset being determined in accordance with the defined one or more disclosure policies. 4. The method of claim 1 , wherein defining one or more disclosure policies includes: defining a role to be associated with one or more querying parties; and associating one or more disclosure policies with the role. | 0.871901 |
10. A system, comprising: a network-accessible computing device comprising a processor and a datastore, the datastore comprising a plurality of story records, each story record submitted by a submitter and comprising one or more content items, and each story record assigned a respective timeframe access control and having respective intersection metadata, the intersection metadata of each story record comprising a location and a timeframe pertaining to the story record; an intersection module operating on the processor, wherein the intersection module is configured to: generate an intersection space in response to a query from a user, the query comprising intersection criteria comprising a specified location and a specified timeframe, by selecting story records from the datastore for inclusion in the intersection space each having a location that matches the location of the intersection criteria and a timeframe that matches the timeframe of the intersection criteria, and filtering the story records selected for inclusion in the intersection space based on the timeframe access controls associated with the respective story records, each timeframe access control specified by a submitter that submitted one or more of the selected story records such that each remaining selected story record is associated with one or more timeframes indicated, by a submitter that submitted the remaining selected story record, as being accessible to the user; and an interface module to present the intersection space to the user on a display, the intersection space comprising indicators of one or more of the filtered story records selected for inclusion in the intersection space. | 10. A system, comprising: a network-accessible computing device comprising a processor and a datastore, the datastore comprising a plurality of story records, each story record submitted by a submitter and comprising one or more content items, and each story record assigned a respective timeframe access control and having respective intersection metadata, the intersection metadata of each story record comprising a location and a timeframe pertaining to the story record; an intersection module operating on the processor, wherein the intersection module is configured to: generate an intersection space in response to a query from a user, the query comprising intersection criteria comprising a specified location and a specified timeframe, by selecting story records from the datastore for inclusion in the intersection space each having a location that matches the location of the intersection criteria and a timeframe that matches the timeframe of the intersection criteria, and filtering the story records selected for inclusion in the intersection space based on the timeframe access controls associated with the respective story records, each timeframe access control specified by a submitter that submitted one or more of the selected story records such that each remaining selected story record is associated with one or more timeframes indicated, by a submitter that submitted the remaining selected story record, as being accessible to the user; and an interface module to present the intersection space to the user on a display, the intersection space comprising indicators of one or more of the filtered story records selected for inclusion in the intersection space. 11. The system of claim 10 , wherein the intersection module is further configured to extract at least a portion of the intersection criteria from an image associated with the user. | 0.530826 |
4. The computing system of claim 1 , wherein the subordinate sub-expression analysis component is further configured to maintain a list of relational types and to determine at least one control region for a symbol based upon a relational type. | 4. The computing system of claim 1 , wherein the subordinate sub-expression analysis component is further configured to maintain a list of relational types and to determine at least one control region for a symbol based upon a relational type. 6. The computing system of claim 4 , wherein the subordinate sub-expression analysis component is further configured to adjust the relational score of the symbol based upon global information. | 0.931614 |
10. A machine readable medium, the machine readable medium containing machine executable program instructions which, when executed by a data processing system, causes the data processing system to perform a method for generating characters from a set of characters, the data processing system being coupled to a keyboard, the keyboard being configured to generate keystroke sequences from a plurality of keys, the method comprising: generating a first signal for a first character when a first keystroke sequence is inputted, said first keystroke sequence being included in a table comprising a plurality of entries, wherein each entry of said table comprises a mapping associating a keystroke sequence with a character from the set of characters, wherein said first character corresponds to said first keystroke sequence according to said table, wherein there exists an entry in said table comprising another keystroke sequence which has a different length from said first keystroke sequence, and wherein said table is generated such that dividing said keystroke sequence into a first subsequence and a second subsequence does not result in said first subsequence being a valid keystroke sequence in said table if said first subsequence comprises at least one keystroke and said second subsequence comprises at least one keystroke. | 10. A machine readable medium, the machine readable medium containing machine executable program instructions which, when executed by a data processing system, causes the data processing system to perform a method for generating characters from a set of characters, the data processing system being coupled to a keyboard, the keyboard being configured to generate keystroke sequences from a plurality of keys, the method comprising: generating a first signal for a first character when a first keystroke sequence is inputted, said first keystroke sequence being included in a table comprising a plurality of entries, wherein each entry of said table comprises a mapping associating a keystroke sequence with a character from the set of characters, wherein said first character corresponds to said first keystroke sequence according to said table, wherein there exists an entry in said table comprising another keystroke sequence which has a different length from said first keystroke sequence, and wherein said table is generated such that dividing said keystroke sequence into a first subsequence and a second subsequence does not result in said first subsequence being a valid keystroke sequence in said table if said first subsequence comprises at least one keystroke and said second subsequence comprises at least one keystroke. 14. The machine readable medium of claim 10 , the method further comprising: generating a second signal for a second character when a second keystroke sequence is inputted, said second keystroke sequence being included in said table, said second character corresponding to said second keystroke sequence according to said table. | 0.515953 |
13. A computer-readable memory storing a set of instructions which, when executed by a processor, causes the processor to perform static analysis of one or more query expressions embedded in programming language source code by: extracting the one or more query expressions from the programming language source code, wherein extracting the one or more query expressions and performing the static analysis comprises reading the source code in which the one or more query expressions are embedded, parsing the source code in which the one or more query expressions are embedded, extracting query expression code for the one or more query expressions from the parsed source code, creating a procedure from the extracted query expression code, and compiling the created procedure; performing the static analysis on the extracted one or more query expressions, wherein performing the static analysis further comprises detecting a collision between triggers in the extracted one or more query expressions based on said analyzing and applying one or more user defined rules to the created procedure, the one or more user defined rules defining guidelines and conventions for the query expressions and in response to any of the extracted one or more query expressions violating the one or more user defined rules, generating an error or warning; and reporting results of performing the static analysis on the one or more query expressions, wherein the results relate errors and warning generated by performing the static analysis to the source code from which the one or more query expressions are extracted. | 13. A computer-readable memory storing a set of instructions which, when executed by a processor, causes the processor to perform static analysis of one or more query expressions embedded in programming language source code by: extracting the one or more query expressions from the programming language source code, wherein extracting the one or more query expressions and performing the static analysis comprises reading the source code in which the one or more query expressions are embedded, parsing the source code in which the one or more query expressions are embedded, extracting query expression code for the one or more query expressions from the parsed source code, creating a procedure from the extracted query expression code, and compiling the created procedure; performing the static analysis on the extracted one or more query expressions, wherein performing the static analysis further comprises detecting a collision between triggers in the extracted one or more query expressions based on said analyzing and applying one or more user defined rules to the created procedure, the one or more user defined rules defining guidelines and conventions for the query expressions and in response to any of the extracted one or more query expressions violating the one or more user defined rules, generating an error or warning; and reporting results of performing the static analysis on the one or more query expressions, wherein the results relate errors and warning generated by performing the static analysis to the source code from which the one or more query expressions are extracted. 15. The computer-readable memory of claim 13 , wherein performing the static analysis further comprises: analyzing use of one or more database tables by the extracted one or more query expressions; and generating an error or warning based on detecting the collision, wherein generating the report further comprises assigning to one or more of the errors or warnings a help snippet from a repository of help information and based on the error or warning. | 0.525916 |
21. A system for high resolution digital embossing by printing a polymer overlayer over a printed file, comprising: a digital printer; a controller communicating with said digital printer; and a workstation communicating with said controller, said workstation comprising: a first storage unit for storing digital images of printed files; an image processing module adapted to analyse files from said first storage unit, said image processing unit comprising means for identifying text characters in said analysed files; a polymer percentage calculation module comprising a lookup table adapted to determine a percentage of polymer pixels reduction for identified text characters; a raster image processor communicating with said first storage unit, said image processing module and said polymer percentage calculation module, said raster image processor adapted to create a raster image for a polymer overlayer to be printed over the printed areas of said printed file, said raster image comprising stochastically removed pixels from the overlay area concurrent with each said identified characters, according to said determined percentage. | 21. A system for high resolution digital embossing by printing a polymer overlayer over a printed file, comprising: a digital printer; a controller communicating with said digital printer; and a workstation communicating with said controller, said workstation comprising: a first storage unit for storing digital images of printed files; an image processing module adapted to analyse files from said first storage unit, said image processing unit comprising means for identifying text characters in said analysed files; a polymer percentage calculation module comprising a lookup table adapted to determine a percentage of polymer pixels reduction for identified text characters; a raster image processor communicating with said first storage unit, said image processing module and said polymer percentage calculation module, said raster image processor adapted to create a raster image for a polymer overlayer to be printed over the printed areas of said printed file, said raster image comprising stochastically removed pixels from the overlay area concurrent with each said identified characters, according to said determined percentage. 22. The system of claim 21 , wherein said image processing module additionally comprises means for identifying thin lines in said analysed files, said lookup table is additionally adapted to determine a percentage of polymer pixels reduction for identified thin lines and said raster image additionally comprising stochastically removed pixels from the overlay area concurrent with each said identified thin lines, according to said determined percentage. | 0.5 |
10. A system for automated electronic document distribution, comprising: a memory; a processor configured to process data to provide automated electronic document distribution, wherein the processor is configured to execute instructions to: receive a routing directive for the one or more document distributions, wherein receiving the routing directive comprises: receiving a selection from among one or more pre-existing electronic documents for inclusion in one or more document distributions, a selection of one or more recipients for the one or more document distributions, and a selection of a document format individually specified for each recipient, wherein each document format identifies the format of documents to be sent to the respective recipient such that the document format may be different among the said recipients; generate a document distribution workflow comprising an instruction set for performing the one or more document distributions based at least in part on the routing directive; store the instruction set; provide the scan cover sheet, wherein the scan cover sheet identifies the document distribution workflow; receive one or more scanned documents and the scan cover sheet from a scanning device; identify, from the scan cover sheet received from the scanning device, the document distribution workflow; execute the instruction set associated with the document distribution workflow, wherein executing the instruction set comprises: transmitting the selected one or more pre-existing electronic documents, the one or more scanned documents and the scan cover sheet to the one or more recipient destinations in accordance with the document distribution workflow, where such distribution is triggered by receipt of the one or more scanned documents. | 10. A system for automated electronic document distribution, comprising: a memory; a processor configured to process data to provide automated electronic document distribution, wherein the processor is configured to execute instructions to: receive a routing directive for the one or more document distributions, wherein receiving the routing directive comprises: receiving a selection from among one or more pre-existing electronic documents for inclusion in one or more document distributions, a selection of one or more recipients for the one or more document distributions, and a selection of a document format individually specified for each recipient, wherein each document format identifies the format of documents to be sent to the respective recipient such that the document format may be different among the said recipients; generate a document distribution workflow comprising an instruction set for performing the one or more document distributions based at least in part on the routing directive; store the instruction set; provide the scan cover sheet, wherein the scan cover sheet identifies the document distribution workflow; receive one or more scanned documents and the scan cover sheet from a scanning device; identify, from the scan cover sheet received from the scanning device, the document distribution workflow; execute the instruction set associated with the document distribution workflow, wherein executing the instruction set comprises: transmitting the selected one or more pre-existing electronic documents, the one or more scanned documents and the scan cover sheet to the one or more recipient destinations in accordance with the document distribution workflow, where such distribution is triggered by receipt of the one or more scanned documents. 13. The system of claim 10 , wherein the instructions cause the processor to provide, on a graphical user interface, a list of one or more recipients for the document distribution. | 0.530874 |
4. The method of claim 1 , wherein the predefined dictionary comprises a plurality of words which have been determined to be informative words of a language in a message as it relates to a target label. | 4. The method of claim 1 , wherein the predefined dictionary comprises a plurality of words which have been determined to be informative words of a language in a message as it relates to a target label. 5. The method of claim 4 , wherein each of the plurality of words have been determined to be the informative words of the language in the message based on a trained dataset and the target label. | 0.90545 |
1. A computer program product, stored on a storage device, the computer program product comprising instructions operable to cause a data processing apparatus to: receive a specification of an existing model comprising multiple model classes, each model class having one or more model class properties and one or more relationships to other model classes, wherein the specification defines a structure of the existing model and includes mappings and bindings between contexts and models; create a new context based on the existing model; create a storage area structure for the new context based on the specification of the existing model, the storage area structure comprising: multiple nodes, each node corresponding to a model class; multiple attributes, each attribute corresponding to a model class property; and relationships between the nodes and attributes based on the relationships between the model classes; derive data dependency relationships for the new context by binding the nodes and attributes of the storage area structure to corresponding elements of the existing model; display one or more datalinks showing a data dependency direction for each data dependency relationship to a user, the data dependency direction being visualized by displaying, on a display unit, a datalink represented as a directed arrow connecting the new context to the existing model, wherein the user can filter the one or more datalinks using filter criteria such that directed arrows representing datalinks satisfying the filter criteria are displayed on the display unit, while directed arrows representing datalinks not satisfying the filter criteria are not displayed on the display unit; create a visual interface having a first view and a second view, wherein the visual interface is configured to show the first view without showing the second view, each of the first and second views comprising at least one inbound plug and at least one outbound plug; establish a navigational link connecting the outbound plug of the first view to the inbound plug of the second view; define at least one transition between the views based on the navigational link receive, from the user, a request for a detailed view of a selected datalink from among the one or more displayed datalinks; display, upon receiving the user request, a detailed view for the selected datalink, the detailed view providing detailed mapping information corresponding to the selected datalink; modify, by the user, the selected datalink using the displayed detailed view corresponding to the selected datalink; and store the storage area structure of the new context containing the modified datalink in a component repository. | 1. A computer program product, stored on a storage device, the computer program product comprising instructions operable to cause a data processing apparatus to: receive a specification of an existing model comprising multiple model classes, each model class having one or more model class properties and one or more relationships to other model classes, wherein the specification defines a structure of the existing model and includes mappings and bindings between contexts and models; create a new context based on the existing model; create a storage area structure for the new context based on the specification of the existing model, the storage area structure comprising: multiple nodes, each node corresponding to a model class; multiple attributes, each attribute corresponding to a model class property; and relationships between the nodes and attributes based on the relationships between the model classes; derive data dependency relationships for the new context by binding the nodes and attributes of the storage area structure to corresponding elements of the existing model; display one or more datalinks showing a data dependency direction for each data dependency relationship to a user, the data dependency direction being visualized by displaying, on a display unit, a datalink represented as a directed arrow connecting the new context to the existing model, wherein the user can filter the one or more datalinks using filter criteria such that directed arrows representing datalinks satisfying the filter criteria are displayed on the display unit, while directed arrows representing datalinks not satisfying the filter criteria are not displayed on the display unit; create a visual interface having a first view and a second view, wherein the visual interface is configured to show the first view without showing the second view, each of the first and second views comprising at least one inbound plug and at least one outbound plug; establish a navigational link connecting the outbound plug of the first view to the inbound plug of the second view; define at least one transition between the views based on the navigational link receive, from the user, a request for a detailed view of a selected datalink from among the one or more displayed datalinks; display, upon receiving the user request, a detailed view for the selected datalink, the detailed view providing detailed mapping information corresponding to the selected datalink; modify, by the user, the selected datalink using the displayed detailed view corresponding to the selected datalink; and store the storage area structure of the new context containing the modified datalink in a component repository. 4. The product of claim 1 , wherein the operations to receive the specification for the existing model and to create the storage area structure are initiated by the user under the guidance of a wizard. | 0.506138 |
1. A computer-implemented expert system including: a memory for: storing a plurality of hypotheses, where the hypotheses are arranged in at least a first and second disjoint group of hypotheses, wherein the first group of hypotheses includes hypotheses that may be taken by the system and the second group includes hypotheses that may not be taken by the system; and storing questions for rejecting hypotheses of the second group; an output for supplying questions from the memory; an input for receiving initial data and answers to outputted questions; a processor programmed to: select questions from the stored questions for those hypotheses from the second group that are possible in dependence on the initial data; determine from at least one answer received in response to outputting the selected questions whether at least one of the hypotheses of the second group is possible by comparing received answers to a predetermined answer sequence stored in or derivable from the memory; and in response to determining that no hypothesis of the second group is possible, supply via the output a most likely hypothesis of the first group in dependence on at least the initial data, wherein the expert system is used for medical diagnosis, the initial data includes a health complaint, the second group of hypotheses containing medical diagnoses that require attention of a medical expert, the first group of hypotheses containing medical diagnoses that do not require any medical attention or can be cured or treated without assistance of a medical expert, and the processor is programmed to select the questions in dependence on the health complaint. | 1. A computer-implemented expert system including: a memory for: storing a plurality of hypotheses, where the hypotheses are arranged in at least a first and second disjoint group of hypotheses, wherein the first group of hypotheses includes hypotheses that may be taken by the system and the second group includes hypotheses that may not be taken by the system; and storing questions for rejecting hypotheses of the second group; an output for supplying questions from the memory; an input for receiving initial data and answers to outputted questions; a processor programmed to: select questions from the stored questions for those hypotheses from the second group that are possible in dependence on the initial data; determine from at least one answer received in response to outputting the selected questions whether at least one of the hypotheses of the second group is possible by comparing received answers to a predetermined answer sequence stored in or derivable from the memory; and in response to determining that no hypothesis of the second group is possible, supply via the output a most likely hypothesis of the first group in dependence on at least the initial data, wherein the expert system is used for medical diagnosis, the initial data includes a health complaint, the second group of hypotheses containing medical diagnoses that require attention of a medical expert, the first group of hypotheses containing medical diagnoses that do not require any medical attention or can be cured or treated without assistance of a medical expert, and the processor is programmed to select the questions in dependence on the health complaint. 11. An expert system as claimed in claim 1 , wherein the expert system is used as a medical diagnosis system; the expert system including a communication interface for exchanging data regarding a medical record of a patient from a storage system for storing medical records of patients; the processor being programmed to retrieve answers to questions from the medical record and/or store data in the medical record. | 0.546792 |
14. An apparatus for suggesting search queries on an electronic device, comprising: a processor including a related data generation function configured for initiating extraction of initial terms related to content of a television program currently accessed by a user by the electronic device without requiring user input, displaying the initial terms for selection by the user, and receiving a selection of a term from the initial terms from the user; a query suggestion function configured for automatically obtaining key terms related to a selected term selected from the initial terms, based on both local available content information and search result snippets from external content information, aggregating and ranking the key terms, and for displaying the key terms based on rank to the user as query suggestions corresponding to the selected term; and a query submission module configured for submitting at least one of the query suggestions as a query for additional content, wherein the extraction, displaying the initial terms, automatically obtaining, aggregating, and displaying the key terms are all performed prior to a query being submitted. | 14. An apparatus for suggesting search queries on an electronic device, comprising: a processor including a related data generation function configured for initiating extraction of initial terms related to content of a television program currently accessed by a user by the electronic device without requiring user input, displaying the initial terms for selection by the user, and receiving a selection of a term from the initial terms from the user; a query suggestion function configured for automatically obtaining key terms related to a selected term selected from the initial terms, based on both local available content information and search result snippets from external content information, aggregating and ranking the key terms, and for displaying the key terms based on rank to the user as query suggestions corresponding to the selected term; and a query submission module configured for submitting at least one of the query suggestions as a query for additional content, wherein the extraction, displaying the initial terms, automatically obtaining, aggregating, and displaying the key terms are all performed prior to a query being submitted. 24. The apparatus of claim 14 , further including a client module is configured for providing a user interface for displaying the key terms to the user as query suggestions corresponding to the selected term. | 0.633391 |
7. The method of claim 1 , processing the received attribute value further comprising: determining whether the attribute for which the attribute value is received is registered, and conveying an error message when the attribute is not registered; storing the received attribute value when it is determined that attribute values are retained; and when it is determined that received attribute values are not retained, processing predetermined conditions related to the received value. | 7. The method of claim 1 , processing the received attribute value further comprising: determining whether the attribute for which the attribute value is received is registered, and conveying an error message when the attribute is not registered; storing the received attribute value when it is determined that attribute values are retained; and when it is determined that received attribute values are not retained, processing predetermined conditions related to the received value. 8. The method of claim 7 , wherein the storing includes one of temporarily caching or retaining in a long-term manner the received attribute value. | 0.932647 |
1. A system for enabling a media production team to incorporate user-generated replacement-dialogue recorded remotely from a media recording studio into a professional-quality media production based on user feedback data, the system comprising: a media server configured to receive and make available guide media, wherein said guide media includes audio and video data representative of a dialogue for which a plurality of replacement-dialogue files are to be created; a mobile device programmed, with mobile replacement-dialogue recording software, to (1) obtain said guide media from said media server, (2) receive user-input indicating a selection to play said guide media, (3) play a user-configurable lead-in queue, (4) upon completion of said lead-in queue, play said audio and video data included in guide media, (5) record a plurality of dialogue performances of the user so as to create a plurality of recordings of said replacement-dialogue, (6) delete selected dialogue performances in response to user input; (7) receive, for a plurality of the recorded dialog performances, user feedback input corresponding to the opinion of the user of the mobile device regarding the plurality of the recorded dialog performances, (8) generate user feedback data corresponding to the user feedback input, and (9) transmit said recordings of said replacement-dialogue and said user feedback data to a studio module; and wherein the studio module is configured to: (1) receive, from a plurality of mobile devices with mobile replacement-dialogue recording software, recordings of replacement dialogue and corresponding user feedback data, (2) provide at least some of said recordings of replacement dialogue and user feedback data to media post-production personnel, (3) receive selection data from the media post-production personnel based upon review of the user feedback data in determining which of said recordings to use in replacing dialogue in the professional-quality media production, and (4) replace dialogue in the professional-quality media production using the replacement dialogue based at least in part on the selection data; wherein said mobile device records said user's dialogue performance while also playing back said audio and video data included in said guide media. | 1. A system for enabling a media production team to incorporate user-generated replacement-dialogue recorded remotely from a media recording studio into a professional-quality media production based on user feedback data, the system comprising: a media server configured to receive and make available guide media, wherein said guide media includes audio and video data representative of a dialogue for which a plurality of replacement-dialogue files are to be created; a mobile device programmed, with mobile replacement-dialogue recording software, to (1) obtain said guide media from said media server, (2) receive user-input indicating a selection to play said guide media, (3) play a user-configurable lead-in queue, (4) upon completion of said lead-in queue, play said audio and video data included in guide media, (5) record a plurality of dialogue performances of the user so as to create a plurality of recordings of said replacement-dialogue, (6) delete selected dialogue performances in response to user input; (7) receive, for a plurality of the recorded dialog performances, user feedback input corresponding to the opinion of the user of the mobile device regarding the plurality of the recorded dialog performances, (8) generate user feedback data corresponding to the user feedback input, and (9) transmit said recordings of said replacement-dialogue and said user feedback data to a studio module; and wherein the studio module is configured to: (1) receive, from a plurality of mobile devices with mobile replacement-dialogue recording software, recordings of replacement dialogue and corresponding user feedback data, (2) provide at least some of said recordings of replacement dialogue and user feedback data to media post-production personnel, (3) receive selection data from the media post-production personnel based upon review of the user feedback data in determining which of said recordings to use in replacing dialogue in the professional-quality media production, and (4) replace dialogue in the professional-quality media production using the replacement dialogue based at least in part on the selection data; wherein said mobile device records said user's dialogue performance while also playing back said audio and video data included in said guide media. 16. The system of claim 1 , wherein the user-configurable lead-in queue is a visual countdown timer providing the remaining seconds and milliseconds prior to the media being played. | 0.526793 |
19. A storage device for using I/O instructions from an audio application intended for registers of a first type of audio card to interact with a second type of audio card, for use in a data processing system having a memory and a processor comprising: means for intercepting a first I/O instruction from the audio application; means for determining by table lookup an audio voice which corresponds to data in the first I/O instruction; and, means for transmitting audio data corresponding to the audio voice to the second type of audio card, coupled to the computer system and a second I/O instruction to the audio application expected in response to the first I/O instruction, the means being activated when the storage device is connected to and accessed by the data processing system. | 19. A storage device for using I/O instructions from an audio application intended for registers of a first type of audio card to interact with a second type of audio card, for use in a data processing system having a memory and a processor comprising: means for intercepting a first I/O instruction from the audio application; means for determining by table lookup an audio voice which corresponds to data in the first I/O instruction; and, means for transmitting audio data corresponding to the audio voice to the second type of audio card, coupled to the computer system and a second I/O instruction to the audio application expected in response to the first I/O instruction, the means being activated when the storage device is connected to and accessed by the data processing system. 24. The device as recited in claim 19 wherein the data in the first I/O instruction comprise a plurality of FM synthesis parameters and the audio voices are a set of generalized MIDI voices. | 0.802687 |
9. A system for presenting video objects linked to a source video, the system comprising: a hardware processor that is programmed to: identify demographic attributes corresponding to a first user participating in an online conversation with a second user; determine at least one keyword associated with the online conversation, wherein the keyword indicates a topic of the online conversation; identify a subset of video objects from a plurality of video objects based at least on the demographic attributes and the at least one keyword, wherein each video object of the subset of video objects comprise a portion of a respective video; cause the identified subset of video objects to be presented in a group of video objects on a first user device associated with the first user; receive an indication that a first video object of the subset of video objects has been selected on the first user device for inclusion in a message in the online conversation; and cause the selected first video object to be presented on a second user device associated with the second user. | 9. A system for presenting video objects linked to a source video, the system comprising: a hardware processor that is programmed to: identify demographic attributes corresponding to a first user participating in an online conversation with a second user; determine at least one keyword associated with the online conversation, wherein the keyword indicates a topic of the online conversation; identify a subset of video objects from a plurality of video objects based at least on the demographic attributes and the at least one keyword, wherein each video object of the subset of video objects comprise a portion of a respective video; cause the identified subset of video objects to be presented in a group of video objects on a first user device associated with the first user; receive an indication that a first video object of the subset of video objects has been selected on the first user device for inclusion in a message in the online conversation; and cause the selected first video object to be presented on a second user device associated with the second user. 10. The system of claim 9 , wherein the keyword indicates a sentiment associated with the online conversation. | 0.639963 |
83. The method of claim 76 , wherein the sending of the representation of the resume is to a hiring manager. | 83. The method of claim 76 , wherein the sending of the representation of the resume is to a hiring manager. 84. The method of claim 83 , further comprising: authorizing the sending of the representation to the hiring manager. | 0.974554 |
14. The computer software product according to claim 11 , further comprising: an eleventh sequence of instructions which, when executed by the processor, causes said processor to characterize a crisp EE position and velocity utilizing a 4-input, first neural layer; a twelfth sequence of instructions which, when executed by the processor, causes said processor to perform fuzzification of said crisp inputs into linguistic variables through Gaussian transfer functions utilizing a second neural layer; a thirteenth sequence of instructions which, when executed by the processor, causes said processor to apply a product T-norm to produce firing strengths of each rule utilizing a third rule defining neural layer; a fourteenth sequence of instructions which, when executed by the processor, causes said processor to normalize firing strengths by calculating a ratio of each rule's firing strength to a sum of all rules' firing strengths, said normalizing firing strengths occurring in a fourth neural layer; a fifteenth sequence of instructions which, when executed by the processor, causes said processor to invert results of said firing strength normalizing step in a fifth neural layer; and a sixteenth sequence of instructions which, when executed by the processor, causes said processor to aggregate and defuzzify results from said the inversion in the fifteenth sequence, said aggregating and defuzzifying occurring in a sixth neural layer providing crisp outputs comprised of said joint torques and said sampling periods. | 14. The computer software product according to claim 11 , further comprising: an eleventh sequence of instructions which, when executed by the processor, causes said processor to characterize a crisp EE position and velocity utilizing a 4-input, first neural layer; a twelfth sequence of instructions which, when executed by the processor, causes said processor to perform fuzzification of said crisp inputs into linguistic variables through Gaussian transfer functions utilizing a second neural layer; a thirteenth sequence of instructions which, when executed by the processor, causes said processor to apply a product T-norm to produce firing strengths of each rule utilizing a third rule defining neural layer; a fourteenth sequence of instructions which, when executed by the processor, causes said processor to normalize firing strengths by calculating a ratio of each rule's firing strength to a sum of all rules' firing strengths, said normalizing firing strengths occurring in a fourth neural layer; a fifteenth sequence of instructions which, when executed by the processor, causes said processor to invert results of said firing strength normalizing step in a fifth neural layer; and a sixteenth sequence of instructions which, when executed by the processor, causes said processor to aggregate and defuzzify results from said the inversion in the fifteenth sequence, said aggregating and defuzzifying occurring in a sixth neural layer providing crisp outputs comprised of said joint torques and said sampling periods. 16. The computer software product according to claim 14 , further comprising an eighteenth sequence of instructions which, when executed by the processor, causes said processor to form only three output neurons for said sixth neural layer. | 0.812103 |
10. A system for determining geographic information about a search query comprising: a search engine coupled with a network and configured to receive the search query over the network; an extractor coupled with the search engine and configured to extract a root term from the search query and to extract a location term from the search query when the search query includes a location term; a processor coupled with at least one of the search engine and the extractor that is configured to determine the geographic information about the search query, wherein the determination is based at least partially on the location term when the search query includes the location term; and a database coupled with the processor and configured to store root terms extracted from a plurality of search queries and configured to store location terms associated with the stored root terms when the location terms are part of the search queries, or is configured to store the determined geographic information for respective search queries. | 10. A system for determining geographic information about a search query comprising: a search engine coupled with a network and configured to receive the search query over the network; an extractor coupled with the search engine and configured to extract a root term from the search query and to extract a location term from the search query when the search query includes a location term; a processor coupled with at least one of the search engine and the extractor that is configured to determine the geographic information about the search query, wherein the determination is based at least partially on the location term when the search query includes the location term; and a database coupled with the processor and configured to store root terms extracted from a plurality of search queries and configured to store location terms associated with the stored root terms when the location terms are part of the search queries, or is configured to store the determined geographic information for respective search queries. 11. The system of claim 10 wherein the geographic information comprises a location and a geographic range. | 0.583599 |
11. In a computing environment, a method of determining view state of domains of a declarative application to enable rehydrating of the view state of the declarative application, wherein the domains are organized in a tree, each domain being built by a configuration builder, the method comprising: in preparation for building a domain, determining a path of a domain about to be built, wherein the path comprises: a path name of a parent domain of the domain; an identifier of a configuration builder corresponding to the domain used to build the domain; and an identifier of one or more local decisions that would be made by the corresponding configuration builder when creating the domain; using the path name, discovering a unique identifier key that is correlated to the path name in an index, the unique identifier key being correlated to the path name in a first table in the index and the unique identifier being used as a foreign key into a second table in the index; using the unique identifier key, discovering if view state information for the domain exists in the index, the view state information being correlated to the unique identifier key in the second table of the index, the view state information comprising an enumeration of changes to underlying source code for the corresponding configuration builder to build the domain from a base version of the underlying source code, while preserving the underlying source code for building the domain; and building the domain, including applying any view state information to the domain. | 11. In a computing environment, a method of determining view state of domains of a declarative application to enable rehydrating of the view state of the declarative application, wherein the domains are organized in a tree, each domain being built by a configuration builder, the method comprising: in preparation for building a domain, determining a path of a domain about to be built, wherein the path comprises: a path name of a parent domain of the domain; an identifier of a configuration builder corresponding to the domain used to build the domain; and an identifier of one or more local decisions that would be made by the corresponding configuration builder when creating the domain; using the path name, discovering a unique identifier key that is correlated to the path name in an index, the unique identifier key being correlated to the path name in a first table in the index and the unique identifier being used as a foreign key into a second table in the index; using the unique identifier key, discovering if view state information for the domain exists in the index, the view state information being correlated to the unique identifier key in the second table of the index, the view state information comprising an enumeration of changes to underlying source code for the corresponding configuration builder to build the domain from a base version of the underlying source code, while preserving the underlying source code for building the domain; and building the domain, including applying any view state information to the domain. 15. The method of claim 11 , wherein the underlying source code comprises a set of elements designating objects to be created, and relationships between these objects specifies how the objects are wired together. | 0.5 |
5. A computer-implemented method for displaying a window on a user interface of a drawing program, the method comprising: receiving an end user selection of a drawing function of the drawing program, the drawing function used for drawing a type of drawing; executing a plug-in module in response to the user selection, the plug-in module comprising computer-executable instructions and plug-in data for implementing the drawing function; retrieving a first document from the plug-in module indicating a functionality associated with the type of drawing; processing the first document to remove characters not recognized by the drawing program; retrieving a second document from the plug-in module indicating a graphical style associated with the type of drawing; inserting a marker at a hyperlink in the first document, the marker indicating which of a plurality of windows is accessed when the hyperlink is selected; formatting the first document with the second document to create a third document, wherein the third document is implemented to provide both the functionality and the graphical style of the user interface; enabling functions with respect to the user interface based on the third document; and rendering the window on a display device within the user interface according to the graphical style described by the third document, wherein the first document specifies a functionality of menu items that are to be displayed in the window. | 5. A computer-implemented method for displaying a window on a user interface of a drawing program, the method comprising: receiving an end user selection of a drawing function of the drawing program, the drawing function used for drawing a type of drawing; executing a plug-in module in response to the user selection, the plug-in module comprising computer-executable instructions and plug-in data for implementing the drawing function; retrieving a first document from the plug-in module indicating a functionality associated with the type of drawing; processing the first document to remove characters not recognized by the drawing program; retrieving a second document from the plug-in module indicating a graphical style associated with the type of drawing; inserting a marker at a hyperlink in the first document, the marker indicating which of a plurality of windows is accessed when the hyperlink is selected; formatting the first document with the second document to create a third document, wherein the third document is implemented to provide both the functionality and the graphical style of the user interface; enabling functions with respect to the user interface based on the third document; and rendering the window on a display device within the user interface according to the graphical style described by the third document, wherein the first document specifies a functionality of menu items that are to be displayed in the window. 7. The method of claim 5 , the method further comprising: executing another plug-in module corresponding to a drawing type chosen by the user, wherein the plug-in module comprises computer-executable instructions and data; replacing, by the drawing program, text in the second document with an image from the other plug-in module; and receiving from the plug-in module a reference to the document. | 0.632224 |
1. An update detecting system for detecting an update in a target file, the target file accessible by a server computer having a processing unit, and memory operatively coupled to the processing unit, comprising: a client computer having a central processing unit and memory operatively coupled to the central processing unit, the client computer and the server computer configured to communication over a communications network; the server computer configured to access the target file and transmit the target file to the server computer upon request by the client computer; a difference extractor configured to extract differences between text data included in said target file and text data included in a copy file obtained by copying said target file; a morphological analyzing unit configured to divide said differences into words to generate a word group, and configured to determine if one or more words in the word group matches a predetermined specific key word or if a group of words in the word group matches a regular expression; and a determining unit configured to determine that an update was is performed in said target file based on whether the morphological analyzing unit determined a match. | 1. An update detecting system for detecting an update in a target file, the target file accessible by a server computer having a processing unit, and memory operatively coupled to the processing unit, comprising: a client computer having a central processing unit and memory operatively coupled to the central processing unit, the client computer and the server computer configured to communication over a communications network; the server computer configured to access the target file and transmit the target file to the server computer upon request by the client computer; a difference extractor configured to extract differences between text data included in said target file and text data included in a copy file obtained by copying said target file; a morphological analyzing unit configured to divide said differences into words to generate a word group, and configured to determine if one or more words in the word group matches a predetermined specific key word or if a group of words in the word group matches a regular expression; and a determining unit configured to determine that an update was is performed in said target file based on whether the morphological analyzing unit determined a match. 3. The update detecting apparatus according to claim 1 , wherein said difference corresponds to text data, which is included in said copy file and is not included in said target file. | 0.568953 |
20. The system of claim 16 wherein the set of programming constructs comprises: a set of non-primitive types for modeling semantics of an utterance or of associated commands. | 20. The system of claim 16 wherein the set of programming constructs comprises: a set of non-primitive types for modeling semantics of an utterance or of associated commands. 21. The system of claim 20 wherein the set of programming constructs further comprises: a syntactical framework for coordinating relationships between the set of non-primitive types and primitive types for modeling the semantics of the natural language. | 0.93898 |
26. The computer program product of claim 25 , wherein defining each set of meta-models the computer readable program code further performs defining a composer meta-model corresponding to the one or more inference meta-models, each composer meta-model defining the relation between the intent meta-model and the corresponding one or more inference meta-models. | 26. The computer program product of claim 25 , wherein defining each set of meta-models the computer readable program code further performs defining a composer meta-model corresponding to the one or more inference meta-models, each composer meta-model defining the relation between the intent meta-model and the corresponding one or more inference meta-models. 27. The computer program product of claim 26 , wherein defining each set of meta-models the computer readable program code further performs defining a set of abstract meta-models, each abstract meta-model of the set of abstract meta-models being inherited from a predefined set of meta-models while defining at least one of the one or more intent meta-models, at least one of the one or more intent meta-models, at least one of the one or more inference meta-models and at least one composer meta-models. | 0.91847 |
22. The method of claim 17 wherein the step of setting up the system comprises the steps of: (ll) introducing a set-up document of the type associated with the template; (mm) presenting the user with the set-up document and template simultaneously; (nn) selecting a data point from the template; (oo) assigning the selected data point to a field in the Conversion Database; (pp) associating the text accompanying the selected data point with the selected data point in the assigned Conversion Database field; (qq) assigning a Data Type to the selected data point in the Conversion Database; (rr) storing a default set of Descriptive Text values and Proximities based on the context of the selected data point value; (ss) storing an additional user-specified set of Descriptive text values; (tt) assigning proximity information to each user-specified Descriptive Text value; and (uu) repeating steps (nn) through (tt) for each data point selected in the set-up document. | 22. The method of claim 17 wherein the step of setting up the system comprises the steps of: (ll) introducing a set-up document of the type associated with the template; (mm) presenting the user with the set-up document and template simultaneously; (nn) selecting a data point from the template; (oo) assigning the selected data point to a field in the Conversion Database; (pp) associating the text accompanying the selected data point with the selected data point in the assigned Conversion Database field; (qq) assigning a Data Type to the selected data point in the Conversion Database; (rr) storing a default set of Descriptive Text values and Proximities based on the context of the selected data point value; (ss) storing an additional user-specified set of Descriptive text values; (tt) assigning proximity information to each user-specified Descriptive Text value; and (uu) repeating steps (nn) through (tt) for each data point selected in the set-up document. 23. The method of claim 22 further comprising the step of introducing multiple set-up documents into the system and repeating steps (ll) through (rr) for each document, so as to store said stored additional Descriptive Text values improving the probability of finding a Possible Data Point in other externally generated documents because appropriate Descriptive Text values and Proximity range have been found in the introduced document. | 0.794595 |
27. The method of claim 15 , wherein the defined and selected communication goal data structure is the evaluate status communication goal data structure, and wherein the narrative analytics model for the content block data structure associated therewith specifies data and algorithms for comparing the value for the subject metric against the reference. | 27. The method of claim 15 , wherein the defined and selected communication goal data structure is the evaluate status communication goal data structure, and wherein the narrative analytics model for the content block data structure associated therewith specifies data and algorithms for comparing the value for the subject metric against the reference. 28. The method of claim 27 wherein the evaluate subject status communication goal data structure comprises: a subject metric parameter; a time frame parameter; and a reference comparison parameter. | 0.942777 |
14. The computer system of claim 10 , wherein the processor is to provide an advertisement to the wireless device based on the prediction. | 14. The computer system of claim 10 , wherein the processor is to provide an advertisement to the wireless device based on the prediction. 15. The computer system of claim 14 , wherein content of the advertisement is associated with the predicted usage of the application. | 0.933238 |
12. A method of user verification employing a processor operating to perform actions in response to executing computer program instructions, comprising: receiving an access request; generating, by a nontransitory computer readable medium having stored thereon instructions for generating, one or more video-based automated tests that are based on at least two properties of human vision comprising at least persistence of vision and simultaneous contrast wherein simultaneous contrast comprises enhancement or diminishment, relative to normal, of perception, cognition and related performance as a result of immediately previous or simultaneous exposure to a stimulus of lesser or greater value in the same dimension wherein generating the one or more video-based automated tests further comprises generating a video of a target image comprising text data of one or more of randomly selected letters or meaningful words, segmenting the target image into a grid of segments wherein each segment is of a predetermined size, generating a set of colors for inclusion into the target image in the video, and splitting the grid of segments across a plurality of framesets such that occurrence rates of the positive data comprising the target image or the text data and negative data including the whitespace data is the same; issuing the one or more tests; receiving a response to the one or more tests from the access requestors; and verifying that the access request originated from a human user based at least on the response. | 12. A method of user verification employing a processor operating to perform actions in response to executing computer program instructions, comprising: receiving an access request; generating, by a nontransitory computer readable medium having stored thereon instructions for generating, one or more video-based automated tests that are based on at least two properties of human vision comprising at least persistence of vision and simultaneous contrast wherein simultaneous contrast comprises enhancement or diminishment, relative to normal, of perception, cognition and related performance as a result of immediately previous or simultaneous exposure to a stimulus of lesser or greater value in the same dimension wherein generating the one or more video-based automated tests further comprises generating a video of a target image comprising text data of one or more of randomly selected letters or meaningful words, segmenting the target image into a grid of segments wherein each segment is of a predetermined size, generating a set of colors for inclusion into the target image in the video, and splitting the grid of segments across a plurality of framesets such that occurrence rates of the positive data comprising the target image or the text data and negative data including the whitespace data is the same; issuing the one or more tests; receiving a response to the one or more tests from the access requestors; and verifying that the access request originated from a human user based at least on the response. 15. The method of claim 12 , further comprising adding a noise component to each segment in a deterministic way which leads to reduced visibility of the text in each frame, but identifiable by a human user when combined in a frameset and shown as a video CAPTCHA. | 0.5 |
83. Apparatus according to claim 81 further including a file manager means for keeping track of points in the record relating to names assigned to any of a first group of hierarchical levels and a point manager means for keeping track of points in the record relating to names assigned to any of a second group of hierarchical levels. | 83. Apparatus according to claim 81 further including a file manager means for keeping track of points in the record relating to names assigned to any of a first group of hierarchical levels and a point manager means for keeping track of points in the record relating to names assigned to any of a second group of hierarchical levels. 88. Apparatus according to claim 83, including file manager means for keeping track of the location of records relating to the document in the memory means; input manager means for reading data and commands and decoding commands which ar entered by said means for entering said input manager means including means for determining when input data is such as to require reformatting of other data and control information, and means for informing said file manager means and said point manager means of the requirement to reformat other data and control information; said file manager means and said point manager means including means for reformatting said other data and control information. | 0.845483 |
1. An integrated circuit, comprising: a static random access memory array; said static random access memory array comprising at least two cores, wherein only one of said at least two cores is written at a time; a tristate driver; and said tristate driver being configured to apply a high impedance state to one of said at least two cores that is not being written, in response to a signal from a logic NOR, wherein said logic NOR receives a first input signal from a write clock and a second input signal based on at least a portion of a write address, wherein said write address is directed to said static random access memory array. | 1. An integrated circuit, comprising: a static random access memory array; said static random access memory array comprising at least two cores, wherein only one of said at least two cores is written at a time; a tristate driver; and said tristate driver being configured to apply a high impedance state to one of said at least two cores that is not being written, in response to a signal from a logic NOR, wherein said logic NOR receives a first input signal from a write clock and a second input signal based on at least a portion of a write address, wherein said write address is directed to said static random access memory array. 3. The integrated circuit of claim 1 , wherein: said at least two cores comprise a first core and a second core; said first core is associated with a first state of a most significant bit of said write address; said second core is associated with a second state of said most significant bit of said write address; and said second input signal is driven by said most significant bit of said write address. | 0.636311 |
17. A system for differential dynamic content delivery, the system comprising: means for providing to a multiplicity of users a presentation including content from a session document; means for streaming presentation speech to the user including individual speech from at least one user participating in the presentation; means for converting the presentation speech to text; means for detecting whether the presentation speech contains simultaneous individual speech from two or more users; and means for displaying the text if the presentation speech contains simultaneous individual speech from two or more users. | 17. A system for differential dynamic content delivery, the system comprising: means for providing to a multiplicity of users a presentation including content from a session document; means for streaming presentation speech to the user including individual speech from at least one user participating in the presentation; means for converting the presentation speech to text; means for detecting whether the presentation speech contains simultaneous individual speech from two or more users; and means for displaying the text if the presentation speech contains simultaneous individual speech from two or more users. 20. The system of claim 17 wherein means for providing to a multiplicity of users a presentation including content from a session document further comprises: means for providing a session document for the presentation, wherein the session document includes a session grammar and a session structured document; means for selecting from the session structured document a classified structural element in dependence upon user classifications of a user participant in the presentation; and means for presenting the selected structural element to the user. | 0.5 |
16. The method of claim 11 , wherein the translation scoring function comprises a log-linear translation scoring function in which weights are assigned to each of the feature functions and wherein the evaluation of the at least one hypothesis includes selecting a hypothesis from a plurality of hypotheses which optimizes the log-linear translation scoring function. | 16. The method of claim 11 , wherein the translation scoring function comprises a log-linear translation scoring function in which weights are assigned to each of the feature functions and wherein the evaluation of the at least one hypothesis includes selecting a hypothesis from a plurality of hypotheses which optimizes the log-linear translation scoring function. 19. The method of claim 16 , wherein one of the feature functions comprises a language model which treats a target hypothesis as a sequence of restricted part of speech tags and computes a probability of the target hypothesis based on the conditional probabilities of subsequences of its restricted part of speech tags, the conditional probabilities being determined for subsequences of a fixed length from a training corpus of text in the second language. | 0.894973 |
2. The method of claim 1 , wherein traversing the set of paths in the ontology comprises: determining the set of paths in the ontology from the semantic type of each known fact to the semantic type for the set of hypotheses. | 2. The method of claim 1 , wherein traversing the set of paths in the ontology comprises: determining the set of paths in the ontology from the semantic type of each known fact to the semantic type for the set of hypotheses. 4. The method of claim 2 , wherein traversing the given path in the ontology comprises: instantiating an end node of the given path with a hypothesis; and instantiating an unknown argument of each relationship in the given path based on the at least one candidate answer. | 0.937984 |
6. A non-transitory machine readable storage medium embodied with computer instructions for causing a processor to execute a process for building a semantic network, the method comprising: accessing a search request definition, based on a search request, within one of a plurality of knowledge domains, each of said knowledge domains representing a different subject matter category; retrieving data terms in the search request according to search request definition; accessing a data terms data structure within the knowledge domain; determining if data terms in the search request already exist in the knowledge domain data structure; based on a determination that data terms in the search request do not exist in the knowledge domain data structure: displaying a results object of related data terms in other knowledge domains, wherein the related terms are categorized by knowledge domain using current domain, terminology and terminology types to create terms for the data terms in the search request based on at least one related term in the other knowledge domains; generating associations links from newly created terms to pre-existing terms in other knowledge domains that are related by terminology type so that the newly created terms and the ore-existing terms are displayed together in a subsequent results object; and verifying terminology definition based on the newly created term. | 6. A non-transitory machine readable storage medium embodied with computer instructions for causing a processor to execute a process for building a semantic network, the method comprising: accessing a search request definition, based on a search request, within one of a plurality of knowledge domains, each of said knowledge domains representing a different subject matter category; retrieving data terms in the search request according to search request definition; accessing a data terms data structure within the knowledge domain; determining if data terms in the search request already exist in the knowledge domain data structure; based on a determination that data terms in the search request do not exist in the knowledge domain data structure: displaying a results object of related data terms in other knowledge domains, wherein the related terms are categorized by knowledge domain using current domain, terminology and terminology types to create terms for the data terms in the search request based on at least one related term in the other knowledge domains; generating associations links from newly created terms to pre-existing terms in other knowledge domains that are related by terminology type so that the newly created terms and the ore-existing terms are displayed together in a subsequent results object; and verifying terminology definition based on the newly created term. 10. The non-transitory machine readable storage medium of claim 6 , further comprising: using an existing definition of particular domains and the terminology types to call particular indexes for terminology. | 0.529372 |
10. A computing system comprising: one or more computing devices configured to: receive a first document file, the first document file capable of being displayed on a display device; store the first document file on a storage medium accessible via the network; select a second document file stored on the storage medium; compare the first document file with the second document file to identify one or more similarities between the first document file and the second document file; designate the first document file as being associated with a social file, the social file providing access to the first document file within a social network, the social file capable of being accessed by user accounts associated with the social network; and store a reference to the social file as a first one of a plurality of feed items in a feed table in a database, the feed items capable of being published in an information feed displayed on a display device. | 10. A computing system comprising: one or more computing devices configured to: receive a first document file, the first document file capable of being displayed on a display device; store the first document file on a storage medium accessible via the network; select a second document file stored on the storage medium; compare the first document file with the second document file to identify one or more similarities between the first document file and the second document file; designate the first document file as being associated with a social file, the social file providing access to the first document file within a social network, the social file capable of being accessed by user accounts associated with the social network; and store a reference to the social file as a first one of a plurality of feed items in a feed table in a database, the feed items capable of being published in an information feed displayed on a display device. 11. The computing system recited in claim 10 , the one or more computing devices further configured to: determine that the first document file is not similar to an existing document file; and create the social file based on the first document file. | 0.602058 |
11. A computer system to dynamically update help content on a cloud computing platform, the system comprising: a memory to store computer executable instructions; at least one computer processor coupled to the memory to execute the instructions, the instructions comprising: periodically checking a documentation repository by a documentation application to determine whether the documentation repository includes at least one archive including documentation content for update; upon determining that the documentation repository includes the at least one archive including the documentation content for update, retrieving from the documentation repository the at least one archive including the documentation content for update; parsing the at least one archive including the documentation content for update to read meta information specified in the at least one archive; based on the meta information, integrating a portion of the documentation content for update into the documentation application at runtime of the documentation application; determining whether a portion of a name of the at least one archive representing an application name is same as an application name portion of other archive including documentation content stored in the documentation repository; upon determining that the portion of the name of the at least one archive is same as the other archive stored in the documentation repository, comparing a timestamp value of the at least one archive with the timestamp value of the other archive to determine an older version from one of the at least one archive and the other archive; and based on the comparison, deleting from the documentation repository the older version from one of the at least one archive and the other archive. | 11. A computer system to dynamically update help content on a cloud computing platform, the system comprising: a memory to store computer executable instructions; at least one computer processor coupled to the memory to execute the instructions, the instructions comprising: periodically checking a documentation repository by a documentation application to determine whether the documentation repository includes at least one archive including documentation content for update; upon determining that the documentation repository includes the at least one archive including the documentation content for update, retrieving from the documentation repository the at least one archive including the documentation content for update; parsing the at least one archive including the documentation content for update to read meta information specified in the at least one archive; based on the meta information, integrating a portion of the documentation content for update into the documentation application at runtime of the documentation application; determining whether a portion of a name of the at least one archive representing an application name is same as an application name portion of other archive including documentation content stored in the documentation repository; upon determining that the portion of the name of the at least one archive is same as the other archive stored in the documentation repository, comparing a timestamp value of the at least one archive with the timestamp value of the other archive to determine an older version from one of the at least one archive and the other archive; and based on the comparison, deleting from the documentation repository the older version from one of the at least one archive and the other archive. 14. The computer system of claim 11 , wherein the instructions further comprise: reading the meta information specified in an administrative file of the at least one archive including documentation content for update to determine whether a delete operation is requested and to determine a predetermined location of a file system of the documentation application that stores documentation content associated with the at least one archive; upon determining that the delete operation is requested, copying the documentation content for update to a temporary location; deleting the predetermined location of the file system of the documentation application; and renaming the temporary location with a name of the deleted predetermined location of the file system of the documentation application. | 0.501114 |
15. A computer program product in a non-transitory computer readable medium for use in a data processing system, the computer program product holding computer program instructions which, when executed by the data processing system, perform a method for merging security constraints associated with an application when using security annotations, the method comprising: during application deployment, generating a list of role names; during application runtime, retrieving security constraints for the application from a plurality of sources, the sources including dynamic and static security annotations, and a deployment descriptor; and using the list of role names and the security constraints retrieved from the plurality of sources to generate a set of merged security constraints having an order of precedence. | 15. A computer program product in a non-transitory computer readable medium for use in a data processing system, the computer program product holding computer program instructions which, when executed by the data processing system, perform a method for merging security constraints associated with an application when using security annotations, the method comprising: during application deployment, generating a list of role names; during application runtime, retrieving security constraints for the application from a plurality of sources, the sources including dynamic and static security annotations, and a deployment descriptor; and using the list of role names and the security constraints retrieved from the plurality of sources to generate a set of merged security constraints having an order of precedence. 16. The computer program product as described in claim 15 wherein the list of role names is generated by merging one or more security constraints in the deployment descriptor together with one or more security constraints in a static security annotation. | 0.593256 |
1. A computer-implemented method of determining whether a business listing is legitimate, the method comprising: accessing, by a processor, a list of legitimate business titles, each legitimate business title including two or more words; generating, by a processor, a matrix of surprisingness values by: examining each legitimate business title to identify pairs of words occurring in that title, adding a count value to the matrix for each pair of words identified, such that the matrix includes a plurality of count values for different pairs of words occurring in the legitimate business titles, and normalizing the plurality of count values for the matrix to generate the matrix of surprisingness values, where each surprisingness value of the matrix of surprisingness values indicates how unlikely a pair of words are to appear in a legitimate business title; storing the matrix of surprisingness values in memory; accessing a plurality of business listings each associated with title data including two or more words; selecting a particular business listing of the plurality of business listings; determining a surprisingness value for the title included in the particular business listing based on the matrix of surprisingness values stored in the memory; and determining whether the particular business listing is legitimate based on whether the surprisingness value for the title included in the particular business listing is less than a threshold value. | 1. A computer-implemented method of determining whether a business listing is legitimate, the method comprising: accessing, by a processor, a list of legitimate business titles, each legitimate business title including two or more words; generating, by a processor, a matrix of surprisingness values by: examining each legitimate business title to identify pairs of words occurring in that title, adding a count value to the matrix for each pair of words identified, such that the matrix includes a plurality of count values for different pairs of words occurring in the legitimate business titles, and normalizing the plurality of count values for the matrix to generate the matrix of surprisingness values, where each surprisingness value of the matrix of surprisingness values indicates how unlikely a pair of words are to appear in a legitimate business title; storing the matrix of surprisingness values in memory; accessing a plurality of business listings each associated with title data including two or more words; selecting a particular business listing of the plurality of business listings; determining a surprisingness value for the title included in the particular business listing based on the matrix of surprisingness values stored in the memory; and determining whether the particular business listing is legitimate based on whether the surprisingness value for the title included in the particular business listing is less than a threshold value. 19. The method of claim 1 , wherein normalizing the matrix includes adjusting the values of the matrix to a scale of 0 to 1, where 1 is a maximum surprisingness value for two words to occur together in a business title and 0 is a minimum surprisingness value for two words to occur together in a business title. | 0.721557 |
13. A computer-readable memory medium storing instructions that cause a computer to: receive selection of a product locale from a plurality of locales at a client site, wherein the product locale defines a user interface appearance for a user interface, and wherein the client site is part of a plurality of client sites, and wherein each of the client sites uses at least one of the plurality of locales; generate a report specification based on input received from the user interface, wherein the report specification is used to extract data from the data source of the database, and wherein the report specification provides a structure for a report produced from the report specification; receive selection of a content locale from the plurality of locales at the client site; construct a metadata model having run-time parameters, wherein the run-time parameters include a session parameter that is based on the content locale, and wherein the metadata model includes model objects representing the data source of the database; build a query using the report specification and the metadata model, wherein the query includes at least one data access statement having one or more expressions that determine one or more tables to use for substitution into the one or more expressions, wherein each of the one or more tables maps session parameters to values, and wherein at least one of the one or more tables comprises a parameter map defining an entire expression; substitute one or more values into the one or more expressions based on the session parameter and the one or more tables to generate a resultant query, wherein the session parameter determines an appropriate entry in each of the one or more tables; extract content locale-specific data from the data source of the database using the resultant query; and prepare a report using the extracted content locale-specific data, wherein the content locale defines an appearance and a format for content within the report. | 13. A computer-readable memory medium storing instructions that cause a computer to: receive selection of a product locale from a plurality of locales at a client site, wherein the product locale defines a user interface appearance for a user interface, and wherein the client site is part of a plurality of client sites, and wherein each of the client sites uses at least one of the plurality of locales; generate a report specification based on input received from the user interface, wherein the report specification is used to extract data from the data source of the database, and wherein the report specification provides a structure for a report produced from the report specification; receive selection of a content locale from the plurality of locales at the client site; construct a metadata model having run-time parameters, wherein the run-time parameters include a session parameter that is based on the content locale, and wherein the metadata model includes model objects representing the data source of the database; build a query using the report specification and the metadata model, wherein the query includes at least one data access statement having one or more expressions that determine one or more tables to use for substitution into the one or more expressions, wherein each of the one or more tables maps session parameters to values, and wherein at least one of the one or more tables comprises a parameter map defining an entire expression; substitute one or more values into the one or more expressions based on the session parameter and the one or more tables to generate a resultant query, wherein the session parameter determines an appropriate entry in each of the one or more tables; extract content locale-specific data from the data source of the database using the resultant query; and prepare a report using the extracted content locale-specific data, wherein the content locale defines an appearance and a format for content within the report. 15. The computer-readable memory of claim 13 , further comprising instructions to validate arbitrary content locale values, and mapping the arbitrary content locale values to content locale values in the data source. | 0.5 |
1. An image processing system, comprising: an image processing apparatus including a scanner configured to read a first side of each of a plurality of documents and a second side of each of the plurality of documents after the plurality of documents are turned over so that positions of the plurality of documents when the second side faces up substantially coincide with positions of the plurality of documents when the first side faces up; and generate a first scanning image including first document images of the first side of the plurality of documents and a second scanned image including second document images of the second side of the plurality of documents; and a server including a memory and a processor, the processor configured to extract each of the first and second document images included in the first scanned image and the second scanned image; and register the first and second document images in the memory, wherein the first and second document images have a pair relationship based on relative positions of the first document images when the first side of each of the documents are read and the second document images when the second side of each of the documents are read. | 1. An image processing system, comprising: an image processing apparatus including a scanner configured to read a first side of each of a plurality of documents and a second side of each of the plurality of documents after the plurality of documents are turned over so that positions of the plurality of documents when the second side faces up substantially coincide with positions of the plurality of documents when the first side faces up; and generate a first scanning image including first document images of the first side of the plurality of documents and a second scanned image including second document images of the second side of the plurality of documents; and a server including a memory and a processor, the processor configured to extract each of the first and second document images included in the first scanned image and the second scanned image; and register the first and second document images in the memory, wherein the first and second document images have a pair relationship based on relative positions of the first document images when the first side of each of the documents are read and the second document images when the second side of each of the documents are read. 10. The image processing system according to claim 1 , wherein the positions of the plurality of documents, when the second side faces up, substantially coincide with the positions of the plurality of documents, when the first side faces up, after the plurality of documents are turned over without replacing relative positions of the plurality of documents. | 0.618896 |
1. A method of alerting a user of condescending speech comprising: receiving speech from at least one user; processing the speech to identify one or more phonemes; processing the identified one or more phonemes wherein the processing identifies the duration, the maximum duration, and the location(s) of the one or more phonemes to identify at least one feature of the speech; comparing the at least one feature to previously determined features; and alerting the user that the received speech contains condescending speech if the comparison exceeds a threshold. | 1. A method of alerting a user of condescending speech comprising: receiving speech from at least one user; processing the speech to identify one or more phonemes; processing the identified one or more phonemes wherein the processing identifies the duration, the maximum duration, and the location(s) of the one or more phonemes to identify at least one feature of the speech; comparing the at least one feature to previously determined features; and alerting the user that the received speech contains condescending speech if the comparison exceeds a threshold. 8. The method of claim 1 , wherein the alert is audible, tactile or visual. | 0.662197 |
10. The driving behavior prediction apparatus of claim 2 , wherein each of the plurality of templates is a time-series pattern that is generated by classifying driving patterns identified by collected data that includes at least one of pre-collected driving data and pseudo-driving data that simulates the driving data. | 10. The driving behavior prediction apparatus of claim 2 , wherein each of the plurality of templates is a time-series pattern that is generated by classifying driving patterns identified by collected data that includes at least one of pre-collected driving data and pseudo-driving data that simulates the driving data. 11. The driving behavior prediction apparatus of claim 10 , wherein each of the plurality of templates is generated by extracting the time-series pattern from the driving data in a manner that shifts the time-series pattern by a predetermined shift period. | 0.945089 |
10. The server according to claim 8 , the acts further comprising: receiving a request for the web page from the small form factor client device; and transmitting a transmission to the small form factor client device over the network that includes at least one of: the thumbnail image of the web page; or one of the plurality of sub-pages. | 10. The server according to claim 8 , the acts further comprising: receiving a request for the web page from the small form factor client device; and transmitting a transmission to the small form factor client device over the network that includes at least one of: the thumbnail image of the web page; or one of the plurality of sub-pages. 14. The server according to claim 10 , wherein the transmitting the transmission to the small form factor client device over the network comprises selecting content for the transmission based upon prior requests received from the small form factor client device. | 0.908298 |
15. The method according to claim 10 , wherein said testing step comprises the step of performing speech recognition. | 15. The method according to claim 10 , wherein said testing step comprises the step of performing speech recognition. 17. The method according to claim 15 , wherein said testing step comprises calculating a signal-to-noise ratio. | 0.979412 |
19. An apparatus, comprising: means for classifying a document in an online database as belonging to one or more of a plurality of categories according to subject matter utilizing, at least in part, a computing platform comprising a processor, wherein the classifying is based, at least in part, on a training set; means for gathering statistics regarding user browsing behavior for the document and means for storing the gathered statistics in a memory of the computing platform; means for comparing the gathered statistics with statistics regarding user browsing behavior for other documents interpreted to be correctly classified; and means for modifying the training set based, at least in part, on the gathered statistics and based, at least in part, on said comparison of the gathered statistics with the statistics regarding user browsing behavior for the other documents interpreted to be correctly classified, utilizing, at least in part, the computing platform. | 19. An apparatus, comprising: means for classifying a document in an online database as belonging to one or more of a plurality of categories according to subject matter utilizing, at least in part, a computing platform comprising a processor, wherein the classifying is based, at least in part, on a training set; means for gathering statistics regarding user browsing behavior for the document and means for storing the gathered statistics in a memory of the computing platform; means for comparing the gathered statistics with statistics regarding user browsing behavior for other documents interpreted to be correctly classified; and means for modifying the training set based, at least in part, on the gathered statistics and based, at least in part, on said comparison of the gathered statistics with the statistics regarding user browsing behavior for the other documents interpreted to be correctly classified, utilizing, at least in part, the computing platform. 20. The apparatus of claim 19 , wherein said means for gathering statistics regarding user browsing behavior comprises means for gathering statistics regarding user clicking patterns. | 0.5 |
1. A method comprising: providing a candidate category hierarchy, including candidate categories, and a mapping between reference pages and the candidate categories, including mapped reference pages; obtaining population usage data of each of the mapped reference pages; using the population usage data to determine a population traffic metric for each of the candidate categories; generating population categories from the candidate categories by using the population traffic metric of each of the candidate categories; and producing a population category hierarchy including the population categories. | 1. A method comprising: providing a candidate category hierarchy, including candidate categories, and a mapping between reference pages and the candidate categories, including mapped reference pages; obtaining population usage data of each of the mapped reference pages; using the population usage data to determine a population traffic metric for each of the candidate categories; generating population categories from the candidate categories by using the population traffic metric of each of the candidate categories; and producing a population category hierarchy including the population categories. 14. The method of claim 1 , wherein generating the population categories from the candidate categories by using the population traffic metric comprises: identifying that a particular candidate category has a population traffic metric that exceeds a categorization threshold; and splitting the particular candidate category into multiple population categories. | 0.684277 |
16. Apparatus comprising: a user interface for accepting user specifications containing at least one unquantified constraint, and a user specification translator for translating the at least one unquantified constraint into at least one quantified constraint, wherein the user specification translator converts the at least one unquantified constraint into a proportion, and further translates the proportion into a specific quantity based on a total quantity identified in the user specification, and wherein the at least one quantified constraint comprises information for selecting a subset of items from a library of items stored in memory to form a suggested collection; and refinement tools for selectively altering the subset of items in the suggested collection through addition or replacement of items. | 16. Apparatus comprising: a user interface for accepting user specifications containing at least one unquantified constraint, and a user specification translator for translating the at least one unquantified constraint into at least one quantified constraint, wherein the user specification translator converts the at least one unquantified constraint into a proportion, and further translates the proportion into a specific quantity based on a total quantity identified in the user specification, and wherein the at least one quantified constraint comprises information for selecting a subset of items from a library of items stored in memory to form a suggested collection; and refinement tools for selectively altering the subset of items in the suggested collection through addition or replacement of items. 19. The apparatus of claim 16 , wherein the refinement tools comprise the suggestion of items for addition or replacement based on metadata specified via the user interface. | 0.674312 |
13. The method of claim 11 , wherein the generating of the keyword comprises determining the category by acquiring genre information regarding the scene. | 13. The method of claim 11 , wherein the generating of the keyword comprises determining the category by acquiring genre information regarding the scene. 14. The method of claim 13 , wherein the genre information is acquired from additional information included in broadcast streams, from a third party service that provides genre information through a web or by analyzing the generated keyword. | 0.932811 |
1. A computer implemented method comprising: receiving a query prefix from a user; obtaining a reference parameter for the user; identifying one or more likely queries that are likely to co-occur with the reference parameter in user activity sessions obtaining initial ranking scores for the one or more likely queries; computing, for each likely query of the one or more likely queries, a respective new ranking score including multiplying the initial ranking score for the likely query by a ranking factor associated with the likely query, wherein the ranking factor R is given by: R = P ( x | q ) P ( x ) , wherein P(x|q) is a measure of a likelihood of the likely query x occurring in a user activity session given that the reference parameter q also occurred in a same user activity session, and wherein P(x) is a measure of the likelihood of the likely query x appearing in a user activity session; determining a ranking of the one or more likely queries according to the new ranking scores; and providing the ranking of the one or more likely queries in response to receiving the query prefix. | 1. A computer implemented method comprising: receiving a query prefix from a user; obtaining a reference parameter for the user; identifying one or more likely queries that are likely to co-occur with the reference parameter in user activity sessions obtaining initial ranking scores for the one or more likely queries; computing, for each likely query of the one or more likely queries, a respective new ranking score including multiplying the initial ranking score for the likely query by a ranking factor associated with the likely query, wherein the ranking factor R is given by: R = P ( x | q ) P ( x ) , wherein P(x|q) is a measure of a likelihood of the likely query x occurring in a user activity session given that the reference parameter q also occurred in a same user activity session, and wherein P(x) is a measure of the likelihood of the likely query x appearing in a user activity session; determining a ranking of the one or more likely queries according to the new ranking scores; and providing the ranking of the one or more likely queries in response to receiving the query prefix. 10. The method of claim 1 , wherein the query prefix includes multiple characters, and wherein identifying one or more likely queries that are likely to co-occur with the reference parameter in user activity sessions comprises: providing, to one or more leaf servers, a first character of the query prefix, wherein each leaf server returns, to an intermediate server or a root server, only likely queries that begin with the first character of the query prefix. | 0.599077 |
1. A method for encoding a multi-lingual text in a matrix code symbol, comprising: receiving, by a computer processor, a multi-lingual text comprising Latin-based characters in a Latin-based language and non-Latin-based characters in a non-Latin-based language; converting, by the computer processor, the non-Latin-based characters in the multi-lingual text to index values to produce a pseudo text, wherein the Unicode values of each of the non-Latin-based characters are two byte in length, wherein the index values are a single byte in length, wherein the conversion is based on a predefined mapping that converts the Unicode values of the non-Latin-based characters to index values having fewer digits than the corresponding Unicode values of the non-Latin-based characters, wherein the predefined mapping allocates at least 55 consecutive digital numbers for the index values; inserting the pseudo text into the multi-lingual text in co-existence with the Latin-based characters in a Latin-based language; and encoding the pseudo text and the Latin-based characters in a Latin-based language in a matrix-code symbol. | 1. A method for encoding a multi-lingual text in a matrix code symbol, comprising: receiving, by a computer processor, a multi-lingual text comprising Latin-based characters in a Latin-based language and non-Latin-based characters in a non-Latin-based language; converting, by the computer processor, the non-Latin-based characters in the multi-lingual text to index values to produce a pseudo text, wherein the Unicode values of each of the non-Latin-based characters are two byte in length, wherein the index values are a single byte in length, wherein the conversion is based on a predefined mapping that converts the Unicode values of the non-Latin-based characters to index values having fewer digits than the corresponding Unicode values of the non-Latin-based characters, wherein the predefined mapping allocates at least 55 consecutive digital numbers for the index values; inserting the pseudo text into the multi-lingual text in co-existence with the Latin-based characters in a Latin-based language; and encoding the pseudo text and the Latin-based characters in a Latin-based language in a matrix-code symbol. 5. The method of claim 1 , wherein the Latin-based language comprises English, French, Spanish, German, or Italian. | 0.577236 |
1. A method, comprising: extracting content for each of a plurality of types from a corpus of textual information, the plurality of types corresponding to segments of an inference scheme, the inference scheme comprising a dependency that orders the segments together so as to create a summation of the corpus of textual information when the extracted content is assembled; assembling one or more inferred statements using the inference scheme and the extracted content; and receiving user feedback that comprises a correction to the one or more inferred statements. | 1. A method, comprising: extracting content for each of a plurality of types from a corpus of textual information, the plurality of types corresponding to segments of an inference scheme, the inference scheme comprising a dependency that orders the segments together so as to create a summation of the corpus of textual information when the extracted content is assembled; assembling one or more inferred statements using the inference scheme and the extracted content; and receiving user feedback that comprises a correction to the one or more inferred statements. 9. The method according to claim 1 , further comprising receiving user feedback when no content is found within the corpus of textual information for at least one of the plurality of types, the user feedback comprising an identification of a keyword within the corpus of textual information that is identified as being a word that belongs to the at least one of the plurality of types. | 0.598814 |
1. A method for dynamically binding a user interface to information stored in a data source, comprising: displaying a user interface, wherein the user interface is operable to display information in a web page, wherein the information is stored in a first data source on a business object, collect additional information from a user, and store the additional information in the first data source on the business object; providing a data binding tag that defines a rendering boundary within the web page for rendering the information, and rules to be applied when the information is rendered, wherein the data binding tag includes a plurality of attributes; specifying, by the data binding tag, a first action which includes reading or updating the information stored in the first data source, wherein at least one of the attributes is associated with the first action; specifying the first data source associated with the first action using a script; and rendering each item in the first data source on the web page in the user interface with a markup language according to the boundary and the rules defined by the data binding tag and based on the first action, including evaluation of the script. | 1. A method for dynamically binding a user interface to information stored in a data source, comprising: displaying a user interface, wherein the user interface is operable to display information in a web page, wherein the information is stored in a first data source on a business object, collect additional information from a user, and store the additional information in the first data source on the business object; providing a data binding tag that defines a rendering boundary within the web page for rendering the information, and rules to be applied when the information is rendered, wherein the data binding tag includes a plurality of attributes; specifying, by the data binding tag, a first action which includes reading or updating the information stored in the first data source, wherein at least one of the attributes is associated with the first action; specifying the first data source associated with the first action using a script; and rendering each item in the first data source on the web page in the user interface with a markup language according to the boundary and the rules defined by the data binding tag and based on the first action, including evaluation of the script. 7. The method of claim 1 wherein: the markup language can include at least one of: Hypertext Markup Language (HTML), Dynamic HTML, Extensible HTML, and Extensible Markup Language. | 0.555517 |
12. A system for processing an electronic-mail message, the system comprising: memory for storing information regarding a message previously classified as a junk message, the message including a message body; and a message gateway including a summarization and signature generation engine stored in memory, the summarization and signature engine executable by a processor to: summarize the message body of a message received over a communications network to produce a summary, wherein summarizing the message body includes grouping words in the message based on similar meaning, and replacing a group with an identifier that represents the similar meaning, generate a signature based on the summary, compare the generated signature to a database of signatures corresponding to signatures of previously received messages, and processes the message based on at least the generated signature. | 12. A system for processing an electronic-mail message, the system comprising: memory for storing information regarding a message previously classified as a junk message, the message including a message body; and a message gateway including a summarization and signature generation engine stored in memory, the summarization and signature engine executable by a processor to: summarize the message body of a message received over a communications network to produce a summary, wherein summarizing the message body includes grouping words in the message based on similar meaning, and replacing a group with an identifier that represents the similar meaning, generate a signature based on the summary, compare the generated signature to a database of signatures corresponding to signatures of previously received messages, and processes the message based on at least the generated signature. 16. The system of claim 12 , wherein the message gateway processes the message by rejecting the message from the inbox. | 0.714286 |
8. A system comprising: a scripting interface comprising a Scripting Server and at least one Scripting Plug-In, wherein said Scripting Server receives, over a network from a server that is remote from a computing machine on which said Scripting Server executes, a script having commands for configuring one or more network communication protocols of a computer, said Scripting Server parses said script to select, from among a plurality of Plug-Ins, and based on results of parsing said script, one of said at least one Scripting Plug-In that maintains communication protocol-specific information that is not possessed by said Scripting Server, wherein said one of said at least one Scripting Plug-In is configured to access said computer and modify said configuration settings. | 8. A system comprising: a scripting interface comprising a Scripting Server and at least one Scripting Plug-In, wherein said Scripting Server receives, over a network from a server that is remote from a computing machine on which said Scripting Server executes, a script having commands for configuring one or more network communication protocols of a computer, said Scripting Server parses said script to select, from among a plurality of Plug-Ins, and based on results of parsing said script, one of said at least one Scripting Plug-In that maintains communication protocol-specific information that is not possessed by said Scripting Server, wherein said one of said at least one Scripting Plug-In is configured to access said computer and modify said configuration settings. 10. The system of claim 8 , wherein said each of said at least one Scripting Plug-In maintains knowledge of specific fields and methods of objects stored in a database. | 0.527778 |
9. An image processing system comprising: a non-transitory memory for storing: a source image; a binarized image generated from the source image; a connected components module for detecting character targets within the binarized image, the character targets covering contiguous portions of the binarized image; a text unit module, coupled to the connected components module, for forming connected neighbors by grouping the character targets having bounding boxes with a horizontal overlap greater than a horizontal overlap threshold, and for forming a text unit by grouping the character targets of the connected neighbors, the character targets having a character vertical overlap greater than a character vertical overlap threshold, each of the character targets having a character feature within a feature threshold, and the text unit a portion of the source image; an identify baseline module, coupled to the text unit module, for calculating a text unit baseline angle for rotating the text unit to the horizontal; and an optical character recognition module, coupled to the text unit module, for detecting an output text of the text unit for display on a device; and a processor for processing the connected components module, the text unit module, the identify baseline module and the optical character recognition module, wherein the text unit module is for expanding each of the bounding boxes of the character targets horizontally by an extra border distance, the extra border distance calculated by a value α multiplied by the character height plus a border offset. | 9. An image processing system comprising: a non-transitory memory for storing: a source image; a binarized image generated from the source image; a connected components module for detecting character targets within the binarized image, the character targets covering contiguous portions of the binarized image; a text unit module, coupled to the connected components module, for forming connected neighbors by grouping the character targets having bounding boxes with a horizontal overlap greater than a horizontal overlap threshold, and for forming a text unit by grouping the character targets of the connected neighbors, the character targets having a character vertical overlap greater than a character vertical overlap threshold, each of the character targets having a character feature within a feature threshold, and the text unit a portion of the source image; an identify baseline module, coupled to the text unit module, for calculating a text unit baseline angle for rotating the text unit to the horizontal; and an optical character recognition module, coupled to the text unit module, for detecting an output text of the text unit for display on a device; and a processor for processing the connected components module, the text unit module, the identify baseline module and the optical character recognition module, wherein the text unit module is for expanding each of the bounding boxes of the character targets horizontally by an extra border distance, the extra border distance calculated by a value α multiplied by the character height plus a border offset. 13. The system as claimed in claim 9 wherein: the text detection module is for generating the binarized image by applying a mask threshold to the source image; and the text unit module is for forming the text unit by grouping the character targets of the connected neighbors, the character targets having a character vertical overlap greater than a character vertical overlap threshold, the character targets having a character stroke size within a character stroke size threshold of the character stroke size of another of the character targets, and the text unit is a portion of the source image. | 0.5 |
4. The computer-implemented method of claim 1 , further comprising: receiving a site selector user interface (UI) to perform a search for a site; entering one or more search requirements for a site to search for; receiving a list of one or more sites matching the one or more search requirements; selecting a first site from the list of one or more sites matching the one or more search requirements; and receiving information about the first site. | 4. The computer-implemented method of claim 1 , further comprising: receiving a site selector user interface (UI) to perform a search for a site; entering one or more search requirements for a site to search for; receiving a list of one or more sites matching the one or more search requirements; selecting a first site from the list of one or more sites matching the one or more search requirements; and receiving information about the first site. 5. The computer-implemented method of claim 4 , wherein the one or more search requirements for a site comprises a Uniform Resource Locator (URL) entered into a data entry field of the site selector UI. | 0.940364 |
16. A policy engine for enforcing context model based Service-Oriented Architecture (SOA) policies, comprising: a memory; and a processor programmed to execute: a gathering module that gathers instance documents related to policy enforcement according to a business requirement, where the instance documents are instantiated from corresponding schema documents; a context model generator that generates an instantiated context model comprising references to the gathered instance documents from a context model definition; a policy set generator that generates a policy set to be enforced via the instantiated context model according to the gathered instance documents; a sequence determining module that determines an enforcement sequence of policies in the policy set; a policy applying module that applies the policies to the instantiated context model according to the enforcement sequence; and where the policy applying module and the context model generator are further configured to provide context model-based forward chaining, comprising being configured to: determine whether the instantiated context model should be updated; if the instantiated context model should be updated: update the instantiated context model with at least one updated instance document comprising executing an updating operation to create the at least one updated instance document; detect and resolving a conflict caused by the updating operation; generate the updated instantiated context model according to the at least one updated instance document and the instantiated context model; and re-apply the policies to only the at least one updated instance document within the updated instantiated context model according to the enforcement sequence. | 16. A policy engine for enforcing context model based Service-Oriented Architecture (SOA) policies, comprising: a memory; and a processor programmed to execute: a gathering module that gathers instance documents related to policy enforcement according to a business requirement, where the instance documents are instantiated from corresponding schema documents; a context model generator that generates an instantiated context model comprising references to the gathered instance documents from a context model definition; a policy set generator that generates a policy set to be enforced via the instantiated context model according to the gathered instance documents; a sequence determining module that determines an enforcement sequence of policies in the policy set; a policy applying module that applies the policies to the instantiated context model according to the enforcement sequence; and where the policy applying module and the context model generator are further configured to provide context model-based forward chaining, comprising being configured to: determine whether the instantiated context model should be updated; if the instantiated context model should be updated: update the instantiated context model with at least one updated instance document comprising executing an updating operation to create the at least one updated instance document; detect and resolving a conflict caused by the updating operation; generate the updated instantiated context model according to the at least one updated instance document and the instantiated context model; and re-apply the policies to only the at least one updated instance document within the updated instantiated context model according to the enforcement sequence. 22. The policy engine according to claim 16 , where the policy set generator comprises: a policy determining unit that determines policies related to the gathered instance documents; and a collecting unit that collects the determined policies to generate the policy set. | 0.616604 |
1. A computer-implemented method of assessing non-native speech proficiency, comprising: processing, using a processing system, a non-native speech sample to identify vowel sounds in the non-native speech sample and vowel sound boundaries corresponding to the vowel sounds in the non-native speech sample; analyzing, using the processing system, the vowel sounds within the vowel sound boundaries to extract vowel characteristics; processing, using the processing system, the vowel sounds and the vowel characteristics to identify a plurality of vowel space metrics for the non-native speech sample, wherein the vowel space metrics indicate an extent of proficient utilization of AA, IY, and OW vowel sounds in the non-native speech sample; and generating using the processing system, a non-native speech proficiency score based upon the plurality of vowel space metrics for the non-native speech sample, wherein the non-native speech proficiency score provides a measure of a pronunciation proficiency of the non-native speech sample based upon the plurality of vowel space metrics, wherein the non-native speech proficiency score is generated by processing the plurality of vowel space metrics with a statistical computer model, the statistical computer model comprising multiple weighted features determined by training the statistical computer model relative to a plurality of training items, the training utilizing calculated vowel space metrics of the training items and human-scored non-native speech proficiency scores of the training items to determine values for the weighted features. | 1. A computer-implemented method of assessing non-native speech proficiency, comprising: processing, using a processing system, a non-native speech sample to identify vowel sounds in the non-native speech sample and vowel sound boundaries corresponding to the vowel sounds in the non-native speech sample; analyzing, using the processing system, the vowel sounds within the vowel sound boundaries to extract vowel characteristics; processing, using the processing system, the vowel sounds and the vowel characteristics to identify a plurality of vowel space metrics for the non-native speech sample, wherein the vowel space metrics indicate an extent of proficient utilization of AA, IY, and OW vowel sounds in the non-native speech sample; and generating using the processing system, a non-native speech proficiency score based upon the plurality of vowel space metrics for the non-native speech sample, wherein the non-native speech proficiency score provides a measure of a pronunciation proficiency of the non-native speech sample based upon the plurality of vowel space metrics, wherein the non-native speech proficiency score is generated by processing the plurality of vowel space metrics with a statistical computer model, the statistical computer model comprising multiple weighted features determined by training the statistical computer model relative to a plurality of training items, the training utilizing calculated vowel space metrics of the training items and human-scored non-native speech proficiency scores of the training items to determine values for the weighted features. 17. The method of claim 1 , wherein a forced alignment procedure is used to identify the plurality of vowel sound boundaries. | 0.567625 |
13. The method of building class-specific cluster systems as recited in claim 9, wherein the step of clustering includes the step of clustering by a top-down method. | 13. The method of building class-specific cluster systems as recited in claim 9, wherein the step of clustering includes the step of clustering by a top-down method. 14. The method of building class-specific cluster systems as recited in claim 13, wherein the step of clustering by the top-down method includes measuring a distance between acoustic features between speakers by a Euclidean distance. | 0.898237 |
1. A system for converting a textual passage to a synthesized image sequence, comprising: processing electronics configured to determine a first textual passage of a text source currently being read by a user, to predict a second textual passage of the text source that will be read by the user, and to generate a synthesized image sequence associated with the second textual passage. | 1. A system for converting a textual passage to a synthesized image sequence, comprising: processing electronics configured to determine a first textual passage of a text source currently being read by a user, to predict a second textual passage of the text source that will be read by the user, and to generate a synthesized image sequence associated with the second textual passage. 4. The system of claim 1 , wherein the processing electronics are further configured to generate an indicia in relation to the second textual passage. | 0.6875 |
35. A computer-implemented method for resolving an ambiguous character in an electronic document, comprising: performing operations in a computer programmed to perform particular operations pursuant to instructions from program software, the operations comprising: identifying in a document a first character, wherein the first character is a recognized non-alphabetic character that is ambiguous because it can be represented by more than one character code in an output file that is interpretable by a word processing algorithm; creating with a programmable processor of the computer a set of candidate solutions from a string of characters including the ambiguous non-alphabetic character, wherein each solution in the set of candidate solutions comprises one or more character codes created by uniquely resolving the ambiguous non-alphabetic character in the string of characters, wherein the set of candidate solutions is stored in memory of a computer system; using a dictionary search result to determine which one of the more than one character codes should be used to represent the first character in the output file; and writing the character code to the output file. | 35. A computer-implemented method for resolving an ambiguous character in an electronic document, comprising: performing operations in a computer programmed to perform particular operations pursuant to instructions from program software, the operations comprising: identifying in a document a first character, wherein the first character is a recognized non-alphabetic character that is ambiguous because it can be represented by more than one character code in an output file that is interpretable by a word processing algorithm; creating with a programmable processor of the computer a set of candidate solutions from a string of characters including the ambiguous non-alphabetic character, wherein each solution in the set of candidate solutions comprises one or more character codes created by uniquely resolving the ambiguous non-alphabetic character in the string of characters, wherein the set of candidate solutions is stored in memory of a computer system; using a dictionary search result to determine which one of the more than one character codes should be used to represent the first character in the output file; and writing the character code to the output file. 36. The method of claim 35 , wherein the string of characters including the first character, comprises a string that begins with the character that follows the first blank space preceding the first character and ends with the character that precedes the first blank space that follows the first character. | 0.566044 |
8. The system of claim 1 , wherein the operations further comprise: detecting a collection identifier within data of the candidate image, the collection identifier indicating an image collection to which the candidate image belongs; and wherein the adjusting of the rank is based on the detecting of the collection identifier within the data of the candidate image. | 8. The system of claim 1 , wherein the operations further comprise: detecting a collection identifier within data of the candidate image, the collection identifier indicating an image collection to which the candidate image belongs; and wherein the adjusting of the rank is based on the detecting of the collection identifier within the data of the candidate image. 10. The system of claim 8 , wherein the collection identifier is exhibited by picture data of the candidate image. | 0.929052 |
1. A method comprising: receiving a voice message intended for delivery to a device associated with a recipient, the voice message being in a first language; receiving, from the recipient, an access number specific to a second language; translating, via a processor, the voice message into the second language, to yield a translated voice message; and transmitting the translated voice message to the device associated with the recipient. | 1. A method comprising: receiving a voice message intended for delivery to a device associated with a recipient, the voice message being in a first language; receiving, from the recipient, an access number specific to a second language; translating, via a processor, the voice message into the second language, to yield a translated voice message; and transmitting the translated voice message to the device associated with the recipient. 5. The method of claim 1 , further comprising selecting a type of speech pattern to be used in translating the voice message based on a preference designated by the recipient in advance. | 0.793142 |
14. The method of claim 11 , wherein the music notation is displayed in a visual display comprising a series of colors, wherein each color represents a different beat, wherein beats determine a duration the structure is played, wherein the different beat colors represent a whole note, a half note, a quarter note, an eighth note, a sixteenth note, a thirty-second note and a sixty-fourth note. | 14. The method of claim 11 , wherein the music notation is displayed in a visual display comprising a series of colors, wherein each color represents a different beat, wherein beats determine a duration the structure is played, wherein the different beat colors represent a whole note, a half note, a quarter note, an eighth note, a sixteenth note, a thirty-second note and a sixty-fourth note. 15. The method of claim 14 , further comprising displaying a beat of silence as a rest that is represented in the music notation as the number zero. | 0.965286 |
10. The method of claim 9 wherein: processing the query based on the plurality of dates includes ranking search results for the query based, at least in part, on scores generated for each of the plurality of dates; and the scores are based on content of said queries previously received by the search engine. | 10. The method of claim 9 wherein: processing the query based on the plurality of dates includes ranking search results for the query based, at least in part, on scores generated for each of the plurality of dates; and the scores are based on content of said queries previously received by the search engine. 24. A computer-readable storage storing one or more sequences of instructions which, when executed by one or more processors, causes the one or more processors to perform the method recited in claim 10 . | 0.87922 |
2. A method of identifying molecules represented by concatenated strings, said method comprising: i) encoding two or more biological molecules into a data structure of initial character strings to provide a collection of two or more different initial character strings, wherein each of the two or more biological molecules comprises at least 10 subunits; ii) selecting at least two substrings from said initial character strings; iii) concatenating the at least two selected substrings to form one or more product strings; and iv) obtaining one or more product biological molecules, wherein the one or more product biological molecules are encoded by one or more of the product strings having greater a predefined value of sequence identity with at least one initial string. | 2. A method of identifying molecules represented by concatenated strings, said method comprising: i) encoding two or more biological molecules into a data structure of initial character strings to provide a collection of two or more different initial character strings, wherein each of the two or more biological molecules comprises at least 10 subunits; ii) selecting at least two substrings from said initial character strings; iii) concatenating the at least two selected substrings to form one or more product strings; and iv) obtaining one or more product biological molecules, wherein the one or more product biological molecules are encoded by one or more of the product strings having greater a predefined value of sequence identity with at least one initial string. 13. The method of claim 2 , further comprising, prior to obtaining the one or more product biological molecules: adding the one or more product strings formed in iii) to the data structure of the initial character strings; and repeating operations ii) and iii) using a combination of the one or more product strings and the initial character strings. | 0.553556 |
1. In a computerized search system in which queries are submitted by users who receive, in response, a list of documents selected from a corpus of documents wherein the list comprises documents deemed responsive to a user's query, a method of determining relevance of the documents comprising: obtaining, at a server computer comprising a processor, the query from a user; determining initial probabilities that a plurality of categories of a taxonomy contain documents relevant to the query, at least one of the initial probabilities being non-zero, wherein the initial probabilities are numeric values; determining a relevance of the documents matching the query in each category having non-zero initial probability; and determining a relevance of documents to the query based on the initial probabilities of the plurality of categories and the relevance of the documents matching the query, wherein determining the relevance of documents to the query comprises: for each particular category containing a particular document, determining a value of the relevance of a particular document to the query by multiplying a determined relevance of the particular document matching the query by the initial probability that the particular category includes relevant documents; generating updated probabilities that the categories of the taxonomy contain relevant documents by multiplying individual ones of the relevance of documents to the query by a weighting factor, wherein the weighting factors used to generate the updated probabilities decay monotonically with the relevance value of the documents to the query; determining an updated relevance of documents to the query based on the updated probabilities and the relevance of the documents matching the query; and summing the updated relevance values to determine the relevance of the documents to the query. | 1. In a computerized search system in which queries are submitted by users who receive, in response, a list of documents selected from a corpus of documents wherein the list comprises documents deemed responsive to a user's query, a method of determining relevance of the documents comprising: obtaining, at a server computer comprising a processor, the query from a user; determining initial probabilities that a plurality of categories of a taxonomy contain documents relevant to the query, at least one of the initial probabilities being non-zero, wherein the initial probabilities are numeric values; determining a relevance of the documents matching the query in each category having non-zero initial probability; and determining a relevance of documents to the query based on the initial probabilities of the plurality of categories and the relevance of the documents matching the query, wherein determining the relevance of documents to the query comprises: for each particular category containing a particular document, determining a value of the relevance of a particular document to the query by multiplying a determined relevance of the particular document matching the query by the initial probability that the particular category includes relevant documents; generating updated probabilities that the categories of the taxonomy contain relevant documents by multiplying individual ones of the relevance of documents to the query by a weighting factor, wherein the weighting factors used to generate the updated probabilities decay monotonically with the relevance value of the documents to the query; determining an updated relevance of documents to the query based on the updated probabilities and the relevance of the documents matching the query; and summing the updated relevance values to determine the relevance of the documents to the query. 9. The method of claim 1 , further comprising repeatedly generating the updated probabilities based on the previous updated probabilities and re-determining the updated relevance of documents to the query. | 0.567028 |
1. A method for training a ranking application to rank a plurality of help postings for display in a forum, comprising: ranking the plurality of help postings to create an initial ranking, wherein the plurality of help postings in the initial ranking are ranked by the ranking application using initial parameter values; storing user interactions with the plurality of help postings presented according to the initial ranking to obtain stored interactions; performing simulations using the stored interactions to generate revised parameter values for the ranking application, wherein performing the simulations comprises: calculating a plurality of relevance values from the stored interactions; creating a test posting; assigning, to the test posting, an initial score and a relevance value randomly selected from the plurality of relevance values to generate a test ranking; simulating user interactions with the plurality of help postings and the test posting in the test ranking to generate simulated rankings of the plurality of help postings and the test posting; and analyzing the simulated rankings based on the relevance value to obtain revised parameter values; ranking, by the ranking application using the revised parameter values, the plurality of help postings to generate a revised ranking; displaying the plurality of help postings in the forum according to the revised ranking; and calculating, from the stored interactions, an average waiting time between postings to obtain a posting interval, wherein, during simulations, a new test posting is added to the simulated rankings at each posting interval. | 1. A method for training a ranking application to rank a plurality of help postings for display in a forum, comprising: ranking the plurality of help postings to create an initial ranking, wherein the plurality of help postings in the initial ranking are ranked by the ranking application using initial parameter values; storing user interactions with the plurality of help postings presented according to the initial ranking to obtain stored interactions; performing simulations using the stored interactions to generate revised parameter values for the ranking application, wherein performing the simulations comprises: calculating a plurality of relevance values from the stored interactions; creating a test posting; assigning, to the test posting, an initial score and a relevance value randomly selected from the plurality of relevance values to generate a test ranking; simulating user interactions with the plurality of help postings and the test posting in the test ranking to generate simulated rankings of the plurality of help postings and the test posting; and analyzing the simulated rankings based on the relevance value to obtain revised parameter values; ranking, by the ranking application using the revised parameter values, the plurality of help postings to generate a revised ranking; displaying the plurality of help postings in the forum according to the revised ranking; and calculating, from the stored interactions, an average waiting time between postings to obtain a posting interval, wherein, during simulations, a new test posting is added to the simulated rankings at each posting interval. 6. The method of claim 1 , wherein the ranking the plurality of help postings and simulating user interactions uses the same ranking algorithm, wherein the ranking algorithm assigns a score to each of the plurality of help postings and test posting, and wherein the score is based on a popularity value and a seed value. | 0.53868 |
1. A method for processing e-mails, the method comprising: receiving, at one or more computer systems, a plurality of e-mails obtained from an e-mail repository; storing information representing each e-mail in the plurality of e-mails in a storage device associated with the one or more computer systems, stored information representing a given e-mail including at least one of content of the given e-mail and message attribute data of the given e-mail; for each e-mail in the plurality of e-mails, determining, with one or more processors associated with the one or more computer systems, a set of noun phrases included in the e-mail based on stored information representing the e-mail, and generating, with the one or more processors associated with the one or more computer systems, a feature representation for the e-mail based on the determined set of noun phrases included in the e-mail, a feature representation for a given e-mail scoring selected noun phrases in a set of noun phrases determined to be included in the given e-mail; generating, with the one or more processors associated with the one or more computer systems, a set of topics based on the feature representation generated for each e-mail in the plurality of emails; and storing each topic in the set of topics in a storage device associated with the one or more computer systems in association with at least some of the plurality of e-mails. | 1. A method for processing e-mails, the method comprising: receiving, at one or more computer systems, a plurality of e-mails obtained from an e-mail repository; storing information representing each e-mail in the plurality of e-mails in a storage device associated with the one or more computer systems, stored information representing a given e-mail including at least one of content of the given e-mail and message attribute data of the given e-mail; for each e-mail in the plurality of e-mails, determining, with one or more processors associated with the one or more computer systems, a set of noun phrases included in the e-mail based on stored information representing the e-mail, and generating, with the one or more processors associated with the one or more computer systems, a feature representation for the e-mail based on the determined set of noun phrases included in the e-mail, a feature representation for a given e-mail scoring selected noun phrases in a set of noun phrases determined to be included in the given e-mail; generating, with the one or more processors associated with the one or more computer systems, a set of topics based on the feature representation generated for each e-mail in the plurality of emails; and storing each topic in the set of topics in a storage device associated with the one or more computer systems in association with at least some of the plurality of e-mails. 4. The method of claim 1 further comprising: determining a name associated with a topic in the set of topic in the set of topics based on the feature representation of one or more e-mails in the plurality of e-mails; and associating the name with the topic. | 0.659392 |
1. A computer-implemented method for performing a location search, comprising: at a computer system including one or more processors and memory storing one or more programs, the one or more processors executing the one or more programs to perform the operations of: receiving a location search query; identifying geographical feature documents that satisfy the location search query, wherein each of the geographical feature documents correspond to a geographical feature; and ranking the identified geographical feature documents in accordance with a score that is based, at least in part, on proximity of the geographical features corresponding to the identified geographical feature documents to a geographical viewport region of a client system, to produce a set of ranked geographical feature documents; and providing results, in accordance with the ranked geographical feature documents, that identify at least one geographic feature corresponding to the at least one of the ranked geographical feature documents. | 1. A computer-implemented method for performing a location search, comprising: at a computer system including one or more processors and memory storing one or more programs, the one or more processors executing the one or more programs to perform the operations of: receiving a location search query; identifying geographical feature documents that satisfy the location search query, wherein each of the geographical feature documents correspond to a geographical feature; and ranking the identified geographical feature documents in accordance with a score that is based, at least in part, on proximity of the geographical features corresponding to the identified geographical feature documents to a geographical viewport region of a client system, to produce a set of ranked geographical feature documents; and providing results, in accordance with the ranked geographical feature documents, that identify at least one geographic feature corresponding to the at least one of the ranked geographical feature documents. 7. The method of claim 1 , including determining key words corresponding to the location search query, and identifying geographical feature documents that match the key words in the location search query; wherein the key words include one or more synonyms for one or more terms in the location search query. | 0.512185 |
1. A document alignment method comprising: inputting source leaves of a source document in first tree structured format, the first tree structured format comprising nodes which are ultimately connected with the source leaves by paths, text content of the source document being distributed among the source leaves; inputting target leaves of a target document in second tree structured format, the second tree structured format comprising nodes which are ultimately connected with the target leaves by paths, text content of the target document being distributed among the target leaves; assigning a cost to each of a plurality of matches based on text content of the leaves, each match comprising elements selected from the group consisting of: a source leaf and a target leaf, an unmatched source leaf, and an unmatched target leaf; identifying a set of matches for which a total cost is minimal, wherein each of the input source and target leaves is in at least one of the identified matches; identifying, from the set of identified matches, groups of matches wherein each match in the group has a leaf in common; identifying, from the groups, probable matches in which more than one target leaf is matched with at least one source leaf and probable matches where more than one source leaf is matched with a target leaf; outputting an alignment between leaves of the target document and leaves of the source document which includes the probable matches. | 1. A document alignment method comprising: inputting source leaves of a source document in first tree structured format, the first tree structured format comprising nodes which are ultimately connected with the source leaves by paths, text content of the source document being distributed among the source leaves; inputting target leaves of a target document in second tree structured format, the second tree structured format comprising nodes which are ultimately connected with the target leaves by paths, text content of the target document being distributed among the target leaves; assigning a cost to each of a plurality of matches based on text content of the leaves, each match comprising elements selected from the group consisting of: a source leaf and a target leaf, an unmatched source leaf, and an unmatched target leaf; identifying a set of matches for which a total cost is minimal, wherein each of the input source and target leaves is in at least one of the identified matches; identifying, from the set of identified matches, groups of matches wherein each match in the group has a leaf in common; identifying, from the groups, probable matches in which more than one target leaf is matched with at least one source leaf and probable matches where more than one source leaf is matched with a target leaf; outputting an alignment between leaves of the target document and leaves of the source document which includes the probable matches. 3. The document alignment method of claim 1 , wherein the target document is in a semantically richer extended mark up language format than the source document. | 0.708646 |
20. The computer-readable medium of claim 17 wherein providing one or more of the candidate emoticons for user selection comprises displaying the set of candidate emoticons on a physical input device or a virtual input device, wherein the physical input device and the virtual input device are configured to receive the entry selection. | 20. The computer-readable medium of claim 17 wherein providing one or more of the candidate emoticons for user selection comprises displaying the set of candidate emoticons on a physical input device or a virtual input device, wherein the physical input device and the virtual input device are configured to receive the entry selection. 21. The computer-readable medium of claim 20 wherein the virtual input device is displayed in close proximity to the text field. | 0.949251 |
1. A method for web mining at least one couplet part, the method comprising: parsing, by a computer, a search result resulting from a query based on a search term comprising a first part of a couplet comprising the first part and a second part, wherein each of the first part and the second part include at least one character or word, and wherein the parsing results in a snippet set wherein each snippet in the set comprises at least one returned character or word that matches the query; filtering, by the computer, the resulting snippet set, wherein the filtering results in at least one candidate couplet part; and generating, by the computer, at least one output couplet part, wherein the generating comprises classifying, by a support vector machine classifier, the at least one candidate couplet part, wherein the at least one couplet part comprises the generated at least one output couplet part. | 1. A method for web mining at least one couplet part, the method comprising: parsing, by a computer, a search result resulting from a query based on a search term comprising a first part of a couplet comprising the first part and a second part, wherein each of the first part and the second part include at least one character or word, and wherein the parsing results in a snippet set wherein each snippet in the set comprises at least one returned character or word that matches the query; filtering, by the computer, the resulting snippet set, wherein the filtering results in at least one candidate couplet part; and generating, by the computer, at least one output couplet part, wherein the generating comprises classifying, by a support vector machine classifier, the at least one candidate couplet part, wherein the at least one couplet part comprises the generated at least one output couplet part. 3. The method as recited in claim 1 wherein the filtering the resulting snippet set is performed by a filter configured to pass snippets of the resulting snippet set that include the first part of the couplet and that includes a returned second part that has a length that corresponds to the first part of the couplet. | 0.5 |
1. A method for electronically accessing an a priori translated character group using a portable electronic system comprising at least one display screen, the method comprising: displaying a target language character group from a target language E-book comprising a target language on a first region of the at least one display screen; receiving a user selection by a user of the target language character group comprising a user selected location in the target language E-book to provide a user selected target language; accessing a pre-translated primary language electronic resource in response to receiving the user selection to allocate a pre-translated primary language E-book comprising a pre-translated version of the target language E-book in a primary language to provide a pre-translated primary language character group; estimating an estimated location of the pre-translated primary language character group in the pre-translated primary language E-book based on calculation of at least one parameter corresponding to the user selected location of the target language character group in the target language E-book; instantly mapping the user selected target language in its entirety to the pre-translated primary language character group; displaying only one instance of the pre-translated primary language character group comprising only the primary language in a second region of the at least one display screen separate from the target language in the first region and in proximity to the user selected target language in response to the user selection, the first region and the second region bounded within the at least one display screen; receiving a visual control by the user of movement of the pre-translated primary language character group in the second region by receiving activation of the at least one display screen based entirely on an input from the user; receiving from the user a relative alignment coordination control of the pre-translated primary language character group to the target language character group based on the estimated location and the user selected location; synchronizing interactively by the user on the at least one display screen the pre-translated primary language character group in the second region to the target language character group in the first region to obtain a synchronized pre-translated primary language character group; and displaying the synchronized pre-translated primary language character group and the target language character group simultaneously on their respective separate regions of the at least one display screen only at one display location at or near the user selected location of the target language E-book in response to a user interaction. | 1. A method for electronically accessing an a priori translated character group using a portable electronic system comprising at least one display screen, the method comprising: displaying a target language character group from a target language E-book comprising a target language on a first region of the at least one display screen; receiving a user selection by a user of the target language character group comprising a user selected location in the target language E-book to provide a user selected target language; accessing a pre-translated primary language electronic resource in response to receiving the user selection to allocate a pre-translated primary language E-book comprising a pre-translated version of the target language E-book in a primary language to provide a pre-translated primary language character group; estimating an estimated location of the pre-translated primary language character group in the pre-translated primary language E-book based on calculation of at least one parameter corresponding to the user selected location of the target language character group in the target language E-book; instantly mapping the user selected target language in its entirety to the pre-translated primary language character group; displaying only one instance of the pre-translated primary language character group comprising only the primary language in a second region of the at least one display screen separate from the target language in the first region and in proximity to the user selected target language in response to the user selection, the first region and the second region bounded within the at least one display screen; receiving a visual control by the user of movement of the pre-translated primary language character group in the second region by receiving activation of the at least one display screen based entirely on an input from the user; receiving from the user a relative alignment coordination control of the pre-translated primary language character group to the target language character group based on the estimated location and the user selected location; synchronizing interactively by the user on the at least one display screen the pre-translated primary language character group in the second region to the target language character group in the first region to obtain a synchronized pre-translated primary language character group; and displaying the synchronized pre-translated primary language character group and the target language character group simultaneously on their respective separate regions of the at least one display screen only at one display location at or near the user selected location of the target language E-book in response to a user interaction. 3. The method according to claim 1 , further comprising displaying the pre-translated primary language character group in a bubble presented on the at least one display screen, wherein the bubble further comprises at least one of the group consisting of: a phonetic pronunciation, and an example of usage of the pre-translated primary language character group. | 0.573013 |
8. A computer-implemented method comprising: executing instructions stored on a computer-readable media, wherein the instructions when executed on a processor comprise; presenting a user interface in which a user can view email messages; responsive to the user selecting an email message, displaying one or more keywords found in the email message, wherein the act of displaying comprises: removing one or more of email tag lines or email header lines from consideration as a keyword; cross-indexing one or more keywords from a selected email message with other email messages that pertain to a contact from which the selected email message was received, to ascertain the use of a multiplier with a weight associated with the cross-indexed one or more keywords; re-calculating weights for detected keywords that re-occur over a pre-determined temporal domain such that the weights of the detected keywords found in last N configurable emails are modified or lowered; using the one or more keywords to conduct a search that provides search results; displaying the search results for the user; and displaying supplemental information that is related to at least one displayed keyword, wherein the acts of displaying selected keywords and supplemental information comprise displaying the selected keywords and the supplemental information. | 8. A computer-implemented method comprising: executing instructions stored on a computer-readable media, wherein the instructions when executed on a processor comprise; presenting a user interface in which a user can view email messages; responsive to the user selecting an email message, displaying one or more keywords found in the email message, wherein the act of displaying comprises: removing one or more of email tag lines or email header lines from consideration as a keyword; cross-indexing one or more keywords from a selected email message with other email messages that pertain to a contact from which the selected email message was received, to ascertain the use of a multiplier with a weight associated with the cross-indexed one or more keywords; re-calculating weights for detected keywords that re-occur over a pre-determined temporal domain such that the weights of the detected keywords found in last N configurable emails are modified or lowered; using the one or more keywords to conduct a search that provides search results; displaying the search results for the user; and displaying supplemental information that is related to at least one displayed keyword, wherein the acts of displaying selected keywords and supplemental information comprise displaying the selected keywords and the supplemental information. 17. The method of claim 8 , wherein the act of displaying keywords comprises re-calculating weights for detected keywords that re-occur over a pre-determined temporal domain. | 0.699555 |
1. In a computer system, a computer-implemented method comprising: displaying at least one window in connection with a website; displaying, utilizing the at least one window, a stock-related field; receiving a plurality of characters of text from a user as the user is typing the text utilizing the stock-related field; after the user types each character in the received text, dynamically determining whether the characters typed so far match any of n text strings in one of a plurality of n-tuples including n>1 text strings, each of the plurality of n-tuples including first text representing a stock ticker symbol and second text representing a company name corresponding to the stock ticker symbol; if it is determined that the characters typed so far match any of the n text strings in the one of the plurality of n-tuples, indicating to the user that a match has been found, utilizing the at least one window; displaying, utilizing the at least one window, a first set of representations of a first set of hyperlinks; receiving first input from the user indicating a selection of one of the first set of hyperlink representations; in response to receiving the first input, displaying a second set of representations of a second set of hyperlinks, utilizing the at least one window; receiving second input from the user indicating a selection of one of the second set of hyperlink representations; and in response to receiving the second input, navigating to a destination specified by the selected one of the second set of hyperlink representations. | 1. In a computer system, a computer-implemented method comprising: displaying at least one window in connection with a website; displaying, utilizing the at least one window, a stock-related field; receiving a plurality of characters of text from a user as the user is typing the text utilizing the stock-related field; after the user types each character in the received text, dynamically determining whether the characters typed so far match any of n text strings in one of a plurality of n-tuples including n>1 text strings, each of the plurality of n-tuples including first text representing a stock ticker symbol and second text representing a company name corresponding to the stock ticker symbol; if it is determined that the characters typed so far match any of the n text strings in the one of the plurality of n-tuples, indicating to the user that a match has been found, utilizing the at least one window; displaying, utilizing the at least one window, a first set of representations of a first set of hyperlinks; receiving first input from the user indicating a selection of one of the first set of hyperlink representations; in response to receiving the first input, displaying a second set of representations of a second set of hyperlinks, utilizing the at least one window; receiving second input from the user indicating a selection of one of the second set of hyperlink representations; and in response to receiving the second input, navigating to a destination specified by the selected one of the second set of hyperlink representations. 66. The method of claim 1 , wherein the first set of representations is specified by the user before displaying the first set of representations. | 0.638787 |
1. A digital conversation generating processor-implemented apparatus, comprising: a memory; a component collection in the memory, including: a processor disposed in communication with the memory, and configured to issue a plurality of processing instructions from the component collection stored in the memory, wherein the processor issues instructions from the component collection, stored in the memory, to: instantiate a processor-implemented dialogue agent; identify an individual target for conversation; initiate a conversational dialogue between the individual target and the dialogue agent; record a first dialogue segment from the individual target as part of the conversational dialogue, wherein the first dialogue segment is a subportion of the conversational dialogue; respond to the first dialogue segment from the individual target with an at least one subsequent response dialogue segment, wherein the at least one subsequent response dialogue segment is a subportion of the conversational dialogue; record a subsequent dialogue segment from the individual target, wherein the subsequent dialogue segment is a subportion of the conversational dialogue; retrieve the recorded interactive dialogue between the individual target and the dialogue agent; allocate a value point to each interactive dialogue segment of the interactive dialogue; create a digital conversation asset comprising at least the retrieved interactive dialogue associated with the allocated value point to each subsequent interactive dialogue segment of the interactive dialogue; determine a value for the digital conversation asset at least based on the allocated value point to each subsequent interactive dialogue segment of the interactive dialogue; and provide the created digital conversation asset associated with the determined value for exchange. | 1. A digital conversation generating processor-implemented apparatus, comprising: a memory; a component collection in the memory, including: a processor disposed in communication with the memory, and configured to issue a plurality of processing instructions from the component collection stored in the memory, wherein the processor issues instructions from the component collection, stored in the memory, to: instantiate a processor-implemented dialogue agent; identify an individual target for conversation; initiate a conversational dialogue between the individual target and the dialogue agent; record a first dialogue segment from the individual target as part of the conversational dialogue, wherein the first dialogue segment is a subportion of the conversational dialogue; respond to the first dialogue segment from the individual target with an at least one subsequent response dialogue segment, wherein the at least one subsequent response dialogue segment is a subportion of the conversational dialogue; record a subsequent dialogue segment from the individual target, wherein the subsequent dialogue segment is a subportion of the conversational dialogue; retrieve the recorded interactive dialogue between the individual target and the dialogue agent; allocate a value point to each interactive dialogue segment of the interactive dialogue; create a digital conversation asset comprising at least the retrieved interactive dialogue associated with the allocated value point to each subsequent interactive dialogue segment of the interactive dialogue; determine a value for the digital conversation asset at least based on the allocated value point to each subsequent interactive dialogue segment of the interactive dialogue; and provide the created digital conversation asset associated with the determined value for exchange. 20. The apparatus of claim 1 , wherein the determined value and digital conversation asset is provided to an ad network for ad revenue compensation determination. | 0.532305 |
1. A computer-implemented method for enhancing electronic discovery searches, at least a portion of the method being performed by a computing device comprising at least one processor, the method comprising: receiving a search query for at least one instance of a user being identified within a backup image of a volume of data, the search query being conducted for electronic discovery; identifying metadata associated with the backup image specifying at least one action performed by the user on a computing system while the volume of data was mounted for use on the computing system; performing the search query on the backup image and receiving a result of the search query in response to performing the search query; enhancing the result of the search query with contextual information relating to the search query based on the metadata in response to determining that the user specified in the search query performed the action, the contextual information facilitating further electronic discovery relating to the user by specifying a context in which the user performed the action on the computing system while the volume of data was mounted for use on the computing system; and providing the enhanced result of the search query. | 1. A computer-implemented method for enhancing electronic discovery searches, at least a portion of the method being performed by a computing device comprising at least one processor, the method comprising: receiving a search query for at least one instance of a user being identified within a backup image of a volume of data, the search query being conducted for electronic discovery; identifying metadata associated with the backup image specifying at least one action performed by the user on a computing system while the volume of data was mounted for use on the computing system; performing the search query on the backup image and receiving a result of the search query in response to performing the search query; enhancing the result of the search query with contextual information relating to the search query based on the metadata in response to determining that the user specified in the search query performed the action, the contextual information facilitating further electronic discovery relating to the user by specifying a context in which the user performed the action on the computing system while the volume of data was mounted for use on the computing system; and providing the enhanced result of the search query. 7. The computer-implemented method of claim 1 , wherein enhancing the result of the search query comprises: identifying a file identified within the result of the search query which was owned by the user at the time that the backup image was generated; identifying, within the metadata, an identifier of at least one additional user that owned the file prior to the user owning the file; and including an indicator that the additional user owned the file prior to the user within the result of the search query. | 0.531375 |
1. A method for computing online metrics for customer relations management, comprising: querying historical linguistic data sets of exchanges between customers and customer relations representatives over social media; extracting from the historical linguistic data sets conversations between said customers and said customer relations representatives; wherein extracting conversations uses a customer relations representative identifier and extracts all messages sent by said customer relations representative identifier or to said customer relations representative identifier; wherein said messages are grouped by a customer using a customer associated identifier; ordering chronologically a list of all said messages by said customer associated identifier; extracting from the list of all said messages groups of messages, wherein each group of messages is related to an individual subject; aggregating said groups of messages into pseudo synchronous conversations; separating each pseudo synchronous conversation of the pseudo synchronous conversations into one or more segments and associating one or more classes to each of the one or more segments; labeling each said segment in said each pseudo synchronous conversation according to a conversation analysis; and, labeling each said segment in said each pseudo synchronous conversation according to an engagement analysis. | 1. A method for computing online metrics for customer relations management, comprising: querying historical linguistic data sets of exchanges between customers and customer relations representatives over social media; extracting from the historical linguistic data sets conversations between said customers and said customer relations representatives; wherein extracting conversations uses a customer relations representative identifier and extracts all messages sent by said customer relations representative identifier or to said customer relations representative identifier; wherein said messages are grouped by a customer using a customer associated identifier; ordering chronologically a list of all said messages by said customer associated identifier; extracting from the list of all said messages groups of messages, wherein each group of messages is related to an individual subject; aggregating said groups of messages into pseudo synchronous conversations; separating each pseudo synchronous conversation of the pseudo synchronous conversations into one or more segments and associating one or more classes to each of the one or more segments; labeling each said segment in said each pseudo synchronous conversation according to a conversation analysis; and, labeling each said segment in said each pseudo synchronous conversation according to an engagement analysis. 8. The method of claim 1 , further comprising: producing metrics from the segments, wherein said metrics are selected from the group consisting of: message thread length, time thread length, first wait time, average wait time, and arrival rate. | 0.591106 |
8. A method for conducting a dialog with a user of at least one computerized enterprise system, the method comprising: using at least one ontological entity to define user dialog topics including items; conducting a dialog with a user of at least one computerized enterprise system about an individual topic from among said user dialog topics, including generating a directed graph based on item references, from links between said items, by applying closure-based variable scoping in conjunction with backward-chaining-based logic to said directed graph; and identifying and scoring potential discussion forks based on said directed graph. | 8. A method for conducting a dialog with a user of at least one computerized enterprise system, the method comprising: using at least one ontological entity to define user dialog topics including items; conducting a dialog with a user of at least one computerized enterprise system about an individual topic from among said user dialog topics, including generating a directed graph based on item references, from links between said items, by applying closure-based variable scoping in conjunction with backward-chaining-based logic to said directed graph; and identifying and scoring potential discussion forks based on said directed graph. 33. A method according to claim 8 wherein a topic context runtime ontology supports nested topic contexts. | 0.737031 |
20. A system comprising: a communication device for communicating with a client over a network; a server system comprising a memory and at least one processor; and a program stored in the memory and configured to be executed by the at least one processor to: scan a web page to identify external code referenced by the web page; extract the identified external code referenced by the web page from at least one import file associated with the web page; concatenate the extracted external code into a new import file; and send, via the communication device, the new import file and the web page to the client in response to a request from the client to access the web page. | 20. A system comprising: a communication device for communicating with a client over a network; a server system comprising a memory and at least one processor; and a program stored in the memory and configured to be executed by the at least one processor to: scan a web page to identify external code referenced by the web page; extract the identified external code referenced by the web page from at least one import file associated with the web page; concatenate the extracted external code into a new import file; and send, via the communication device, the new import file and the web page to the client in response to a request from the client to access the web page. 22. The system of claim 20 , wherein the external code comprises a web application, and the web page comprises hypertext markup language (HTML) code and at least one embedded code block written in a scripting language. | 0.5 |
12. The BOM management system of claim 1 , wherein the DRM process module transmits product configuration information relating to a new dynamic link to other applications for propagating a product data change to the other BOMs in different domains. | 12. The BOM management system of claim 1 , wherein the DRM process module transmits product configuration information relating to a new dynamic link to other applications for propagating a product data change to the other BOMs in different domains. 13. The BOM management system of claim 12 , wherein based on the product knowledge gained from the new dynamic link, the DRM process module causes other applications to automatically create a dynamic link in the corresponding BOMs in the other domains that do not have a corresponding product data change. | 0.935505 |
1. A method for assessing a performance of a speech recognition system, comprising: using at least one processor, determining a grade, corresponding to either recognition of instances of a word or recognition of instances of various words among a set of words, wherein the grade indicates a level of the performance of the system; and the grade is based on a recognition rate determined from a plurality of recognition observations and at least one recognition factor. | 1. A method for assessing a performance of a speech recognition system, comprising: using at least one processor, determining a grade, corresponding to either recognition of instances of a word or recognition of instances of various words among a set of words, wherein the grade indicates a level of the performance of the system; and the grade is based on a recognition rate determined from a plurality of recognition observations and at least one recognition factor. 28. The method of claim 1 , wherein the method is performed as the system is being used by a user. | 0.690874 |
8. A computer implemented method for language translation comprising: receiving an Optical Character Recognizer (OCR)-converted character sequence from an OCR, the OCR-converted character sequence being in a first language; converting a set of OCR-converted characters of the OCR-converted character sequence to a corresponding corrected set of characters to generate a corrected character sequence based on a look-up table and language scores generated by a language model, wherein the corrected character sequence is in the first language, wherein the look-up table comprises a probability score for each character of the set of OCR-converted characters, wherein the probability score represents a probability of replacing an OCR-converted character of the set of OCR-converted characters with one or more target characters to form one or more characters of the corrected set of characters; and translating an OCR-converted word sequence corresponding to the corrected character sequence to a corrected word sequence in a second language. | 8. A computer implemented method for language translation comprising: receiving an Optical Character Recognizer (OCR)-converted character sequence from an OCR, the OCR-converted character sequence being in a first language; converting a set of OCR-converted characters of the OCR-converted character sequence to a corresponding corrected set of characters to generate a corrected character sequence based on a look-up table and language scores generated by a language model, wherein the corrected character sequence is in the first language, wherein the look-up table comprises a probability score for each character of the set of OCR-converted characters, wherein the probability score represents a probability of replacing an OCR-converted character of the set of OCR-converted characters with one or more target characters to form one or more characters of the corrected set of characters; and translating an OCR-converted word sequence corresponding to the corrected character sequence to a corrected word sequence in a second language. 15. The computer implemented method of claim 8 , wherein the look-up table is generated by extracting a plurality of mappings of each character of the set of OCR-converted characters with the one or more target characters to compute and assign the probability score to each of the extracted plurality of mappings. | 0.5 |
11. A method according to claim 9, wherein the establishing of first and the second Markov Model parameters includes: generating Markov Model parameters corresponding to both the first sequences and the second sequences; increasing those of the generated Markov Model parameters which correspond primarily to the first sequences to form first increased parameters and decreasing those of the generated Markov Model parameters which correspond primarily to the second sequences to form first decreased parameters; and increasing those of the generated Markov Model parameters which correspond primarily to the second sequences to form second increased parameters and decreasing those of the generated Markov Model parameters which correspond primarily to the first sequences to form second decreased parameters. | 11. A method according to claim 9, wherein the establishing of first and the second Markov Model parameters includes: generating Markov Model parameters corresponding to both the first sequences and the second sequences; increasing those of the generated Markov Model parameters which correspond primarily to the first sequences to form first increased parameters and decreasing those of the generated Markov Model parameters which correspond primarily to the second sequences to form first decreased parameters; and increasing those of the generated Markov Model parameters which correspond primarily to the second sequences to form second increased parameters and decreasing those of the generated Markov Model parameters which correspond primarily to the first sequences to form second decreased parameters. 12. A method according to claim 11, wherein: the establishing of the first Markov Model parameters includes assigning a first weight to each of the generated Markov Model parameters based upon a variance in the correspondence of the parameter to the first sequences and in the correspondence of the parameter to the second sequences; each of the first increased parameters is increased by an amount based upon its assigned first weight; each of the first decreased parameters is decreased by an amount based upon its assigned first weight the establishing of the second Markov Model parameters includes assigning a second weight to each of the generated Markov Model parameters based upon a variance in the correspondence of the parameter to the first sequences and in the correspondence of the parameter to the second sequences each of the second increased parameters is increased by an amount based upon its assigned second weight; and each of the decreased second parameters is decreased by an amount based upon its assigned second weight. | 0.596164 |
15. An information retrieval system hosted and executing within a computer network comprising: an information retrieval component in communication with a search index and a collection of information; and a user interface module in communication with the information retrieval component, the user interface module comprising: a transceiver for receiving, during a defining session between a user and the information retrieval system, a user generated definition of an expression type wherein the expression type can be one of a query seeking information from the information retrieval component, a statement seeking to add new information to the information retrieval component, and a command to perform an action, the definition of the expression type specifying an expression format having a semantic structure, a response type, and a display format, and during an execution session between a user and the information retrieval system, a user generated expression having a semantic structure that matches a semantic structure that was received and stored during the defining session; a semantic evaluator for evaluating the semantic structure of the received expression by determining: (i) whether the semantic structure matches a command; (ii) whether the semantic structure represents an answer to a question; (iii) whether a query of the information retrieval component using the received expression exactly as phrased results in identification of stored information associated with the received expression; and (iv) whether the semantic structure is an implicit command to add data to the information retrieval component; a processor for processing the received expression according to the response type specified in the definition of the expression type for the received expression; a display component displaying a generated response according to the display format specified in the definition of the expression type for the received expression; and a storage device for storing the definition of an expression type. | 15. An information retrieval system hosted and executing within a computer network comprising: an information retrieval component in communication with a search index and a collection of information; and a user interface module in communication with the information retrieval component, the user interface module comprising: a transceiver for receiving, during a defining session between a user and the information retrieval system, a user generated definition of an expression type wherein the expression type can be one of a query seeking information from the information retrieval component, a statement seeking to add new information to the information retrieval component, and a command to perform an action, the definition of the expression type specifying an expression format having a semantic structure, a response type, and a display format, and during an execution session between a user and the information retrieval system, a user generated expression having a semantic structure that matches a semantic structure that was received and stored during the defining session; a semantic evaluator for evaluating the semantic structure of the received expression by determining: (i) whether the semantic structure matches a command; (ii) whether the semantic structure represents an answer to a question; (iii) whether a query of the information retrieval component using the received expression exactly as phrased results in identification of stored information associated with the received expression; and (iv) whether the semantic structure is an implicit command to add data to the information retrieval component; a processor for processing the received expression according to the response type specified in the definition of the expression type for the received expression; a display component displaying a generated response according to the display format specified in the definition of the expression type for the received expression; and a storage device for storing the definition of an expression type. 25. The system of claim 15 , wherein the semantic evaluator further comprises a means for identifying the expression as a command. | 0.659864 |
11. A name pronunciation guide system, comprising: a server connected to a communication network and operating a database storing a plurality of audio files, each audio file representing a particular pronunciation of one of a plurality of names; and a first user device connected to the server via the communication network and configured to receive user information from a first user and send the user information to the server, the user information including name information of the first user, wherein, in response to the user information received from the first user device, the server is configured to search the database to find one or more audio files corresponding the name information, send one or more audio files corresponding to the name information to the first user device via the communication network for the first user's listening and selection, creating a user profile for the first user and store the user profile in the database, the user profile comprising the user information and the selected audio file, wherein the server is further configured to receive an inquiry for searching a name of the first user from a second user device of a second user via the communication network, search the database to find one or more user profiles corresponding to the searched name, and send one or more audio files corresponding to the one or more user profiles to the second user device via the communication network, wherein the name information comprises one or more call-me-this names. | 11. A name pronunciation guide system, comprising: a server connected to a communication network and operating a database storing a plurality of audio files, each audio file representing a particular pronunciation of one of a plurality of names; and a first user device connected to the server via the communication network and configured to receive user information from a first user and send the user information to the server, the user information including name information of the first user, wherein, in response to the user information received from the first user device, the server is configured to search the database to find one or more audio files corresponding the name information, send one or more audio files corresponding to the name information to the first user device via the communication network for the first user's listening and selection, creating a user profile for the first user and store the user profile in the database, the user profile comprising the user information and the selected audio file, wherein the server is further configured to receive an inquiry for searching a name of the first user from a second user device of a second user via the communication network, search the database to find one or more user profiles corresponding to the searched name, and send one or more audio files corresponding to the one or more user profiles to the second user device via the communication network, wherein the name information comprises one or more call-me-this names. 22. The system of claim 11 , wherein the one or more audio files is professionally recorded. | 0.633162 |
11. The device according to claim 6 , further comprising: a utterance error occurrence adjusting unit configured to adjust the number of occurrences of the utterance error in the entire character string. | 11. The device according to claim 6 , further comprising: a utterance error occurrence adjusting unit configured to adjust the number of occurrences of the utterance error in the entire character string. 12. The device according to claim 11 , wherein the utterance error occurrence adjusting unit adjusts the number of occurrences of the utterance error so as to be equal to or less than a predetermined value. | 0.955541 |
1. A computer-implemented process for use in a computer network that includes at least two computers communicatively coupled to each other, the process comprising the steps of: (a) accepting a first user's request; (b) searching a local knowledge object repository comprising local knowledge each of the local knowledge objects being associated with the first user; (c) searching a central knowledge object repository comprising contributed knowledge objects; (d) returning to the first user a list of links for all matching local and contributed knowledge objects, said matching local and contributed knowledge objects being marked either local or published or listed; (e) allowing access to said matching local and contributed knowledge objects if the first user chooses a knowledge object marked local or published; (f) forwarding the first user's request to a second user and prompting the second user for authorization of access if the first user chooses a knowledge object marked listed from the list, the second user having control of access to the knowledge object marked listed object; (g) returning to the first user the chosen knowledge object marked listed if the second user allows access; (h) notifying the first user that the request is not completed if the second user declines access to the listed knowledge object. | 1. A computer-implemented process for use in a computer network that includes at least two computers communicatively coupled to each other, the process comprising the steps of: (a) accepting a first user's request; (b) searching a local knowledge object repository comprising local knowledge each of the local knowledge objects being associated with the first user; (c) searching a central knowledge object repository comprising contributed knowledge objects; (d) returning to the first user a list of links for all matching local and contributed knowledge objects, said matching local and contributed knowledge objects being marked either local or published or listed; (e) allowing access to said matching local and contributed knowledge objects if the first user chooses a knowledge object marked local or published; (f) forwarding the first user's request to a second user and prompting the second user for authorization of access if the first user chooses a knowledge object marked listed from the list, the second user having control of access to the knowledge object marked listed object; (g) returning to the first user the chosen knowledge object marked listed if the second user allows access; (h) notifying the first user that the request is not completed if the second user declines access to the listed knowledge object. 8. The process of claim 1 , wherein the step (f) further comprises the step of: prompting the second user to provide a substitution if the second user determines that the chosen listed knowledge object is irrelevant or sub optimal for the task indicated in the first user's request. | 0.513861 |
5. A computer implemented method for generating an index file for supporting a directory assistance service, the method comprising: utilizing a computer processor that is a functional component of the computer to generate an indexing file that contains a first collection of pairs for a first uniquely identified listing feature, wherein first collection of pairs includes a first pair consisting of a listing identifier and a first score, the first score being indicative of a degree of strength with which a first listing identified by the first listing identifier includes characteristics that are consistent with the first uniquely identified listing feature, wherein generating the index file such that the first collection pairs also includes a second pair consisting of a second listing identifier and a second score, the second score being indicative of a degree of strength with which a second listing identified by the second listing identifier includes characteristics that are consistent with the first uniquely identified listing feature, wherein the first collection of pair includes a separate and distinct pair for every listing in the index that includes the listing feature, each separate and distinct pair including a listing identifier and a score, and wherein all of the separate and distinct pairs in the first collection of pairs are listed, within the indexing file, in an order that is at least partially contingent upon an evaluation of a value of the score in each separate and distinct pair; wherein generating the indexing file such that the indexing file includes, for each of the individual features in said listing, a set of score that represent a degree of strengths of correlation between the individual feature and each listing in the index; identifying a plurality of query features associated by the query; assigning one of said unique query identifiers to each of the plurality of query features; cross referencing, into the indexing file, the unique query identifiers assigned to each of the plurality of query features; and creating a ranking that factors a set of scores included in the indexing file with the cross referenced unique query identifiers. | 5. A computer implemented method for generating an index file for supporting a directory assistance service, the method comprising: utilizing a computer processor that is a functional component of the computer to generate an indexing file that contains a first collection of pairs for a first uniquely identified listing feature, wherein first collection of pairs includes a first pair consisting of a listing identifier and a first score, the first score being indicative of a degree of strength with which a first listing identified by the first listing identifier includes characteristics that are consistent with the first uniquely identified listing feature, wherein generating the index file such that the first collection pairs also includes a second pair consisting of a second listing identifier and a second score, the second score being indicative of a degree of strength with which a second listing identified by the second listing identifier includes characteristics that are consistent with the first uniquely identified listing feature, wherein the first collection of pair includes a separate and distinct pair for every listing in the index that includes the listing feature, each separate and distinct pair including a listing identifier and a score, and wherein all of the separate and distinct pairs in the first collection of pairs are listed, within the indexing file, in an order that is at least partially contingent upon an evaluation of a value of the score in each separate and distinct pair; wherein generating the indexing file such that the indexing file includes, for each of the individual features in said listing, a set of score that represent a degree of strengths of correlation between the individual feature and each listing in the index; identifying a plurality of query features associated by the query; assigning one of said unique query identifiers to each of the plurality of query features; cross referencing, into the indexing file, the unique query identifiers assigned to each of the plurality of query features; and creating a ranking that factors a set of scores included in the indexing file with the cross referenced unique query identifiers. 7. The indexing file of claim 5 , wherein the indexing file includes, in addition to said first and second pair, other pairs each consisting of a listing identifier of a listing and a score indicative of a degree of strength with which that listing includes characteristics that are consistent with the first uniquely identified listing feature, and wherein the first, second and other pairs are organized, within the indexing file, in descending or ascending order based on said score included in each pair. | 0.5 |
1. A method, comprising: collecting textual data of a target domain; categorizing, by a target classifier associated with the target domain, the textual data according to sentiment using identifiers previously imported to the target classifier from a trained classifier associated with a source domain; and sending data for display in a user interface to present a summary of results that are based at least in part on the categorizing the textual data. | 1. A method, comprising: collecting textual data of a target domain; categorizing, by a target classifier associated with the target domain, the textual data according to sentiment using identifiers previously imported to the target classifier from a trained classifier associated with a source domain; and sending data for display in a user interface to present a summary of results that are based at least in part on the categorizing the textual data. 7. The method of claim 1 , further comprising: sorting the textual data of the target domain into groups based at least in part on an occurrence of a particular identifier in the textual data of the target domain, wherein the particular identifier is labeled with a known sentiment; creating an additional identifier based at least in part on an occurrence of a term that is used a predefined number of times in one of the groups; and assigning the known sentiment to the additional identifier. | 0.56953 |
1. A system configured to generate a user interface comprising: a processor configured to execute the following computer executable components; a schema generator configured to receive metadata for a reference object and further configured to generate from the metadata a service-neutral interface schema for reference object access points determined to have communicative intent, wherein the service-neutral interface schema is an abstraction of the reference object access points identified from an analysis of the metadata, wherein the schema generator is configured to determine if an access point to the reference object implies communicative intent by determining whether the access point has both an input and an output that complies with a provided service-specific schema pattern, wherein the output is produced as a result of the input; and a user interface generator configured to receive the service-neutral interface schema and a transform directed to a particular target platform and further configured to generate a service-specific user interface from the transform and the service neutral interface schema generated from the metadata. | 1. A system configured to generate a user interface comprising: a processor configured to execute the following computer executable components; a schema generator configured to receive metadata for a reference object and further configured to generate from the metadata a service-neutral interface schema for reference object access points determined to have communicative intent, wherein the service-neutral interface schema is an abstraction of the reference object access points identified from an analysis of the metadata, wherein the schema generator is configured to determine if an access point to the reference object implies communicative intent by determining whether the access point has both an input and an output that complies with a provided service-specific schema pattern, wherein the output is produced as a result of the input; and a user interface generator configured to receive the service-neutral interface schema and a transform directed to a particular target platform and further configured to generate a service-specific user interface from the transform and the service neutral interface schema generated from the metadata. 5. The system of claim 1 , wherein the user interface generator is configured to generate a user interface targeted to a Windows Presentation Foundation (WPF) platform from a web services communication class. | 0.548683 |
31. An article of manufacture comprising a storage medium containing instructions that when executed enable a system to: generate a multivariable decomposition visualization to present hierarchical information for a response variable and multiple reporting variables defined for the response variable in a single user interface view, the multivariable decomposition visualization comprising multiple graphical user interface (GUI) elements each representing a reporting variable value of multiple reporting variables for multiple hierarchical levels, with a GUI element of a reporting variable value of a reporting variable of a hierarchical level selectable for decomposition into multiple GUI elements representing reporting variable values of a different reporting variable for a different hierarchical level; receive a control directive indicating selection of the selectable GUI element of the hierarchical level for decomposition into decomposed GUI elements of the different hierarchical level; and present the selectable GUI element of the hierarchical level adjoining with the decomposed GUI elements of the different hierarchical level in response to the control directive. | 31. An article of manufacture comprising a storage medium containing instructions that when executed enable a system to: generate a multivariable decomposition visualization to present hierarchical information for a response variable and multiple reporting variables defined for the response variable in a single user interface view, the multivariable decomposition visualization comprising multiple graphical user interface (GUI) elements each representing a reporting variable value of multiple reporting variables for multiple hierarchical levels, with a GUI element of a reporting variable value of a reporting variable of a hierarchical level selectable for decomposition into multiple GUI elements representing reporting variable values of a different reporting variable for a different hierarchical level; receive a control directive indicating selection of the selectable GUI element of the hierarchical level for decomposition into decomposed GUI elements of the different hierarchical level; and present the selectable GUI element of the hierarchical level adjoining with the decomposed GUI elements of the different hierarchical level in response to the control directive. 37. The article of manufacture of claim 31 , further comprising instructions that when executed enable the system to collapse a column for the multivariable decomposition visualization in response to a column collapse control directive. | 0.764571 |
10. A non-transitory computer-readable storage medium having computer-executable instructions stored thereon that, when executed by a computing device, cause the computing device to at least: receive a structured document; parse structural elements from the structured document; generate a text string representing a structure of the structured document from the structural elements, wherein the text string does not comprise textual content from the structured document; derive metadata from the structured document; add the metadata to the text string, the metadata representing a complexity value of the structure of the structured document based at least in part upon a maximum depth of nested structural elements in the structured document; group structural elements in the text string into N-grams utilizing a sliding window; utilize a classifier trained from a plurality of training documents labeled as belonging to a first document class to determine a probability that the structured document belongs to the first document class based on the N-grams, the classifier using the complexity value of the structure of the structured document as a coefficient for a first probability that the structured document belongs to the first document class, wherein the complexity value has a relatively lower value for a first set of documents that are similar and include a simple structure while the complexity value has a relatively higher value for a second set of documents that are relatively less similar and include a relatively more complex structure as compared to the first set of documents; determine whether the first probability that the structured document belongs to the first document class satisfies a threshold value; if the first probability that the structured document belongs to the first document class satisfies the threshold value, classifying the structured document as belonging to the first document class; and if the first probability that the structured document belongs to the first document class does not satisfy the threshold value, utilizing the classifier trained from a plurality of training documents labeled as belonging to the second document class to determine a second probability that the structured document belongs to the second document class based on the text string representing the structure of the structured document. | 10. A non-transitory computer-readable storage medium having computer-executable instructions stored thereon that, when executed by a computing device, cause the computing device to at least: receive a structured document; parse structural elements from the structured document; generate a text string representing a structure of the structured document from the structural elements, wherein the text string does not comprise textual content from the structured document; derive metadata from the structured document; add the metadata to the text string, the metadata representing a complexity value of the structure of the structured document based at least in part upon a maximum depth of nested structural elements in the structured document; group structural elements in the text string into N-grams utilizing a sliding window; utilize a classifier trained from a plurality of training documents labeled as belonging to a first document class to determine a probability that the structured document belongs to the first document class based on the N-grams, the classifier using the complexity value of the structure of the structured document as a coefficient for a first probability that the structured document belongs to the first document class, wherein the complexity value has a relatively lower value for a first set of documents that are similar and include a simple structure while the complexity value has a relatively higher value for a second set of documents that are relatively less similar and include a relatively more complex structure as compared to the first set of documents; determine whether the first probability that the structured document belongs to the first document class satisfies a threshold value; if the first probability that the structured document belongs to the first document class satisfies the threshold value, classifying the structured document as belonging to the first document class; and if the first probability that the structured document belongs to the first document class does not satisfy the threshold value, utilizing the classifier trained from a plurality of training documents labeled as belonging to the second document class to determine a second probability that the structured document belongs to the second document class based on the text string representing the structure of the structured document. 21. The non-transitory computer-readable storage medium of claim 10 , wherein the complexity value is between 0 and L, where L is a normalized value. | 0.590084 |
9. A non-transitory computer-readable storage medium storing one or more sequences of instructions which, when executed by one or more processors, cause the one or more processors to perform steps comprising: receiving, at a database server, a query that evaluates to a relation, wherein said query comprises: a first one or more clauses; and a model clause, wherein said model clause comprises: a rule that comprises a left-side expression and a right-side expression, wherein said right-side expression includes a window function; and one or more dimension columns that correspond to columns of said relation, wherein said left-side expression references a set of said one or more dimension columns; wherein said window function specifies a set of columns over which said window function is to be evaluated, wherein said set of columns corresponds to columns of said relation; executing said query at said database server to generate said relation, wherein executing said query comprises: identifying a column vector, wherein said column vector includes only: said set of columns that is specified by said window function, and said set of said one or more dimension columns that is referenced by said left-side expression; and evaluating said window function based on those columns that are included in said column vector. | 9. A non-transitory computer-readable storage medium storing one or more sequences of instructions which, when executed by one or more processors, cause the one or more processors to perform steps comprising: receiving, at a database server, a query that evaluates to a relation, wherein said query comprises: a first one or more clauses; and a model clause, wherein said model clause comprises: a rule that comprises a left-side expression and a right-side expression, wherein said right-side expression includes a window function; and one or more dimension columns that correspond to columns of said relation, wherein said left-side expression references a set of said one or more dimension columns; wherein said window function specifies a set of columns over which said window function is to be evaluated, wherein said set of columns corresponds to columns of said relation; executing said query at said database server to generate said relation, wherein executing said query comprises: identifying a column vector, wherein said column vector includes only: said set of columns that is specified by said window function, and said set of said one or more dimension columns that is referenced by said left-side expression; and evaluating said window function based on those columns that are included in said column vector. 10. The non-transitory computer-readable storage medium of claim 9 , wherein: said query is a Structured Query Language (SQL) query; and said right-side expression includes a plurality of window functions, wherein said window function is one of said plurality of window functions. | 0.819057 |
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